链接及代码之后会更新
GitHub链接：https://github/gbstack/AAAI-2022-papers
Scaled ReLU Matters for Training Vision Transformers
Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin
Search Strategies for Topological Network Optimization
Michael D. Moffitt
Fully Attentional Network for Semantic Segmentation
Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang
Efficient Riemannian Meta-Optimization by Implicit Differentiation
Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua
A Causal Inference Look at Unsupervised Video Anomaly Detection
Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu
MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face
Recognition
Ge Yuan, Huicheng Zheng, Jiayu Dong
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge, Bryan Hooi, Ng See Kiong, Ng Wee Siong
End-to-End Line Drawing Vectorization
Hanyuan Liu, Chengze Li, Xueting Liu, Tien-Tsin Wong
Online-Updated High-Order Collaborative Networks for Single Image Deraining
Cong Wang, Jinshan Pan, Xiao-Ming Wu
Up to 100$ imes$ Faster Data-Free Knowledge Distillation
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition
Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang
MMA: Multi-Camera Based Global Motion Averaging
Hainan Cui, Shuhan Shen
Stereo Neural Vernier Caliper
Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng
AnchorFace: Boosting TAR@FAR for Practical Face Recognition
Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang
Learning to Learn Transferable Attack
Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji
A Causal Debiasing Framework for Unsupervised Salient Object Detection
Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu
Unsupervised Temporal Video Grounding with Deep Semantic Clustering
Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou
Exploring Motion and Appearance Information for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu
Best-Buddy GANs for Highly Detailed Image Super-Resolution
Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu
Visual Sound Localization in the Wild by Cross-Modal Interference Erasing
Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Tiancheng Lin, Hongteng Xu, Canqian Yang, Yu Xi
NukCP: An Improved Local Search Algorithm for Maximum k-Club Problem
Jiejiang Chen, Yiyuan Wang, Shaowei Cai, Minghao Yin, Yupeng Zhou, Jieyu Wu
A Fast Local Search Algorithm for the Latin Square Completion Problem
Shiwei Pan, Yiyuan Wang, Minghao Yin
Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition
Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using
Tree Search and Graph Neural Networks
Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton
PageRank for Edges: Axiomatic Characterization
Natalia Kucharczuk, Tomasz Wąs, Oskar Skibski
Stationary Diffusion State Neural Estimation for Multiview Clustering
Chenghua Liu, Zhuolin Liao, Yixuan Ma, Kun Zhan
Efficient Model-Driven Network for Shadow Removal
Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong, Zheng-Jun Zha
Pan-Sharpening with Customized Transformer and Invertible Neural Network
Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow PredictionJiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang
MTLDesc: Looking Wider to Describe Better
Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu, Weiliang Meng, Bin Fan, Xiaopeng Zhang
Truthful Cake Sharing
Xiaohui Bei, Xinhang Lu, Warut Suksompong
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning
Bo Pang, Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang, Kaiwen Zha, Jiefeng Li, Cewu Lu
OneRel: Joint Entity and Relation Extraction with One Module in One Step
Yu-Ming Shang, Heyan Huang, Xian-Ling Mao
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task
Learning
Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
Ta-Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification
Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha
Meta Propagation Networks for Graph Few-Shot Semi-Supervised Learning
Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
PMAL: Open Set Recognition via Robust Prototype Mining
Jing Lu, Yunlu Xu, Hao Li, Zhanzhan Cheng, Yi Niu
ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting
Yuke Li, Pin Wang, Lixiong Chen, Zheng Wang, Ching-Yao Chan
Knowledge Compilation Meets Logical Separability
Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong
One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning
Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu
Anchor DETR: Query Design for Transformer-Based Object Detection
Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization
Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang,
Liujuan Cao
GuidedMix-Net: Semi-Supervised Semantic Segmentation by Using Labeled Images as Reference
Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao
Risk-Aware Stochastic Shortest PathTobias Meggendorfer
Task-Level Self-Supervision for Cross-Domain Few-Shot Learning
Wang Yuan, Zhizhong Zhang, Cong Wang, Haichuan Song, Yuan Xie, Lizhuang Ma
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng
MoCaNet: Motion Retargeting in-the-Wild via Canonicalization Networks
Wentao Zhu, Zhuoqian Yang, Ziang Di, Wayne Wu, Yizhou Wang, Chen Change Loy
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse
Junyi Li, Bin Gu, Heng Huang
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and
Spiking Neural Networks
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang
Privacy-Preserving Face Recognition in the Frequency Domain
Yinggui Wang, Jian Liu, Man Luo, Le Yang, Li Wang
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng
Improving Bayesian Neural Networks by Adversarial Sampling
Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan
Continual Learning Through Retrieval and Imagination
Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-
Resolution
Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation
Yuang Liu, Wei Zhang, Jun Wang
P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence
Yahao Shi, Xinyu Cao, Feixiang Lu, Bin Zhou
Learning Token-Based Representation for Image Retrieval
Hui Wu, Min Wang, Wengang Zhou, Yang Hu, Houqiang Li
HEAL: A Knowledge Graph for Distress Management Conversations
Anuradha Welivita, Pearl Pu
Weakly-Supervised Salient Object Detection Using Point Supervison
Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang
Comprehensive Regularization in a Bi-Directional Predictive Network for Video Anomaly DetectionChengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren,
Lizhuang Ma
QueryProp: Object Query Propagation for High-Performance Video Object Detection
Fei He, Naiyu Gao, Jian Jia, Xin Zhao, Kaiqi Huang
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds
Zhenbo Shi, Zhi Chen, Zhenbo Xu, Wei Yang, Zhidong Yu, Liusheng Huang
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective
Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng
Channelized Axial Attention - Considering Channel Relation within Spatial Attention for Semantic
Segmentation
Ye Huang, Di Kang, Wenjing Jia, Liu Liu, Xiangjian He
Dynamic Spatial Propagation Network for Depth Completion
Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, Hua Yang
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning
Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation
Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu
The Price of Selfishness: Conjunctive Query Entailment for ALCSelf is 2EXPTIME-Hard
Bartosz Bednarczyk, Sebastian Rudolph
SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds
Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu
Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity In Memory
Jialun Liu, Wenhui Li, Yifan Sun
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution
Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu
InsCLR: Improving Instance Retrieval with Self-Supervision
Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang
The Secretary Problem with Competing Employers on Random Edge Arrivals
Xiaohui Bei, Shengyu Zhang
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration
Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, Shuaicheng Liu
Hierarchical Image Generation via Transformer-Based Sequential Patch Selection
Xiaogang Xu, Ning Xu
Deformable Part Region Learning for Object Detection
Seung-Hwan Bae
SCALoss: Side and Corner Aligned Loss for Bounding Box RegressionTu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai
Dual Contrastive Learning for General Face Forgery Detection
Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning
Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer
Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng
Exploring Visual Context for Weakly Supervised Person Search
Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang
Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma
Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents
Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Qiangeng Xu, Yiqi Zhong, Ulrich Neumann
Deep Confidence Guided Distance for 3D Partial Shape Registration
Dvir Ginzburg, Dan Raviv
Prevailing in the Dark: Information Walls in Strategic Games
Pavel Naumov, Wenxuan Zhang
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed
Deepfake Images
Binh M. Le, Simon S. Woo
Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation
Yi Li, Yi Chang, Changfeng Yu, Luxin Yan
Siamese Network with Interactive Transformer for Video Object Segmentation
Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks
Biyang Liu, Huimin Yu, Yangqi Long
Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion
Role Labeling
Shengqiong Wu, Hao Fei, Fei Li, Meishan Zhang, Yijiang Liu, Chong Teng, Donghong Ji
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao
Improved Text Classification via Contrastive Adversarial Training
Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar
Unified Named Entity Recognition as Word-Word Relation ClassificationJingye Li, Donghong Ji, Jiang Liu, Hao Fei, Meishan Zhang, Shengqiong Wu, Chong Teng, Fei Li
Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation
Tong Chu, Yahao Liu, Jinhong Deng, Wen Li, Lixin Duan
Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition
Hao Liu, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu, Bo Ren
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Meirui Jiang, Zirui Wang, Qi Dou
From Actions to Programs as Abstract Actual Causes
Bita Banihashemi, Shakil M. Khan, Mikhail Soutchanski
Degrade is Upgrade: Learning Degradation for Low-Light Image Enhancement
Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape
Dictionary
Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion
Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
Making Adversarial Examples More Transferable and Indistinguishable
Junhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Yu Pan, Zhisong Pan
Multiscale Dynamic Coding improved Spiking Actor Network for Reinforcement Learning
Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Bo Xu
SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation
Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan
Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu
Beyond Learning Features: Training a Fully-Functional Classifier with Zero Instance-Level Labels
Deepak Babu Sam, Abhinav Agarwalla, R. Venkatesh Babu
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl
Learning Disentangled Classification and Localization Representations for Temporal Action Localization
Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, Gang Hua
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm
DetectionTing Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi
SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal
Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong
Weighted Fairness Notions for Indivisible Items Revisited
Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong
LGD: Label-Guided Self-Distillation for Object Detection
Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun
Fuzzy Logic based Logical Query Answering on Knowledge Graphs
Xuelu Chen, Ziniu Hu, Yizhou Sun
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
Self-Supervised Object Localization with Joint Graph Partition
Yukun Su, Guosheng Lin, Yiwen Cao, Qingyao Wu
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
Weakly Supervised Neural Symbolic Learning for Cognitive Tasks
Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin
Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning
Qiqi Gu, Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Ran Yi
Attention-Aligned Transformer for Image Captioning
Zhengcong Fei
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection
Xinpeng Liu, Yong-Lu Li, Cewu Lu
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
Jintai Chen, KuanLun Liao, Yao Wan, Danny Z. Chen, Jian Wu
Neighborhood-Adaptive Structure Augmented Metric Learning
Pandeng Li, Yan Li, Hongtao Xie, Lei Zhang
DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer
Buyu Li, Yongchi Zhao, Zhelun Shi, Lu Sheng
Logit Perturbation
Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang
Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific
Representation Learning
Xiaoshan Yang, Baochen Xiong, Yi Huang, Changsheng Xu
You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation
Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu
FFNet: Frequency Fusion Network for Semantic Scene Completion
Xuzhi Wang, Di Lin, Liang Wan
Hedonic Games with Fixed-Size Coalitions
Vittorio Bilò, Gianpiero Monaco, Luca Moscardelli
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels
Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin
Mutual Contrastive Learning for Visual Representation Learning
Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
Path-Specific Objectives for Safer Agent Incentives
Sebastian Farquhar, Ryan Carey, Tom Everitt
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Longhui Wei, Lingxi Xie, Jianzhong He, Xiaopeng Zhang, Qi Tian
Understanding Enthymemes in Deductive Argumentation Using Semantic Distance Measures
Anthony Hunter
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations
Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi
Finite Entailment of Local Queries in the Z Family of Description Logics
Bartosz Bednarczyk, Emanuel Kieroński
Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution
Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms
Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation
Xixia Xu, Qi Zou, Xue Lin
Block-Skim: Efficient Question Answering for Transformer
Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye
Divide-and-Regroup Clustering for Domain Adaptive Person Re-Identification
Zhengdong Hu, Yifan Sun, Yi Yang, Jianguang Zhou
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse BanditsJoel Q. L. Chang, Vincent Y. F. Tan
Image Difference Captioning with Pre-Training and Contrastive Learning
Linli Yao, Weiying Wang, Qin Jin
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process
Huafeng Liu, Tong Zhou, Jiaqi Wang, Liping Jing, Michael K. Ng
Assessing a Single Image in Reference-Guided Image Synthesis
Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang
Fusion Multiple Kernel K-Means
Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu
On the Complexity of Inductively Learning Guarded Clauses
Andrei Draghici, Georg Gottlob, Matthias Lanzinger
Input-Specific Robustness Certification for Randomized Smoothing
Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
Monocular Camera-Based Point-Goal Navigation by Learning Depth Channel and Cross-Modality Pyramid
Fusion
Tianqi Tang, Heming Du, Xin Yu, Yi Yang
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Shenwang Jiang, Jianan Li, Ying Wang, Tingfa Xu, Bo Huang, Zhang Zhang
PEA+IDA: An Improved Hybrid Memory-Restricted Algorithm**
Frederico Messa, André G. Pereira
One More Check: Making “Fake Background” Be Tracked Again
Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Weiming Hu
ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton
Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem
DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models
Diana Kim, Ahmed Elgammal, Marian Mazzone
Content-Variant Reference Image Quality Assessment via Knowledge Distillation
Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun
Efficient Virtual View Selection for 3D Hand Pose Estimation
Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan, Hongan Wang, Xiaoming Deng, Yinda Zhang
Shadow Generation for Composite Image in Real-World Scenes
Yan Hong, Li Niu, Jianfu Zhang
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
Yihua Cheng, Yiwei Bao, Feng Lu
MobileFaceSwap: A Lightweight Framework for Video Face Swapping
Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding
JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection
Nan Song, Tianyuan Jiang, Jian Yao
Retinomorphic Object Detection in Asynchronous Visual Streams
Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian
Inharmonious Region Localization by Magnifying Domain Discrepancy
Jing Liang, Li Niu, Penghao Wu, Fengjun Guo, Teng Long
BM-NAS: Bilevel Multimodal Neural Architecture Search
Yihang Yin, Siyu Huang, Xiang Zhang
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning
Diversified Representations
Konstantinos P. Panousis, Anastasios Antoniades, Sotirios Chatzis
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian, Yi Shan
Self-Labeling Framework for Novel Category Discovery over Domains
Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan, Haoliang Li, Wenhan Yang, Lap-Pui Chau, Alex C. Kot
Towards Light-Weight and Real-Time Line Segment Detection
Geonmo Gu, Byungsoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin
Making Translations to Classical Planning Competitive with Other HTN Planners
Gregor Behnke, Florian Pollitt, Daniel Höller, Pascal Bercher, Ron Alford
Energy-Based Generative Cooperative Saliency Prediction
Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
Social Interpretable Tree for Pedestrian Trajectory Prediction
Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua
SFSRNet: Super-Resolution for Single-Channel Audio Source Separation
Joel Rixen, Matthias Renz
Dual Attention Networks for Few-Shot Fine-Grained Recognition
Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang
Learning Universal Adversarial Perturbation by Adversarial Example
Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang
L-CoDe: Language-Based Colorization Using Color-Object Decoupled Conditions
Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, Boxin Shi
A+BFHS: A Hybrid Heuristic Search Algorithm*
Zhaoxing Bu, Richard E. Korf
Dist2Cycle: A Simplicial Neural Network for Homology Localization
Alexandros D. Keros, Vidit Nanda, Kartic Subr
TransZero: Attribute-Guided Transformer for Zero-Shot Learning
Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Xinge You, Ke Lu
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition
Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment
Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li
A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection
Zhipeng Xie, Yumin Tu
Efficient Compact Bilinear Pooling via Kronecker Product
Tan Yu, Yunfeng Cai, Ping Li
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang
Proximal PanNet: A Model-Based Deep Network for Pansharpening
Xiangyong Cao, Yang Chen, Wenfei Cao
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification
Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song
Clustering Approach to Solve Hierarchical Classification Problem Complexity
Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao
Cross-Domain Few-Shot Graph Classification
Kaveh Hassani
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal
PrivateSNN: Privacy-Preserving Spiking Neural Networks
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Error-Based Knockoffs Inference for Controlled Feature Selection
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard Hovy, Varun Gangal
MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation
Chen Zhang, Luis Fernando D’Haro, Thomas Friedrichs, Haizhou Li
Latent Space Explanation by Intervention
Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is
Enough
Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang
Learning Logic Programs Through Divide, Constrain, and Conquer
Andrew Cropper
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting
Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning
Manlin Zhang, Jinpeng Wang, Andy J. Ma
Invariant Action Effect Model for Reinforcement Learning
Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang
Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning
Jin Chen, Xiaofeng Ji, Xinxiao Wu
Action-Aware Embedding Enhancement for Image-Text Retrieval
Jiangtong Li, Li Niu, Liqing Zhang
Tracing Text Provenance via Context-Aware Lexical Substitution
Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu
Efficient Robust Training via Backward Smoothing
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
Towards End-to-End Image Compression and Analysis with Transformers
Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao
Iterative Calculus of Voting under Plurality
Fabricio Vasselai
State Deviation Correction for Offline Reinforcement Learning
Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using
Spatiotemporal Augmentation Loss
Hao Wang, Euijoon Ahn, Jinman Kim
Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations
Aditya Kalyanpur, Thomas Breloff, David Ferrucci
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei
Real-Time Driver-Request Assignment in Ridesourcing
Hao Wang, Xiaohui Bei
Multi-View Clustering on Topological Manifold
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei
Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation
Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong
Learning Optical Flow with Adaptive Graph Reasoning
Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu
Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning
Haoran Xu, Xianyuan Zhan, Xiangyu Zhu
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-
Kuang Ma
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-Trained Transformers
Minjia Zhng, Niranjan Uma Naresh, Yuxiong He
Max-Min Grouped Bandits
Zhenlin Wang, Jonathan Scarlett
Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors
Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du
Pose-Invariant Face Recognition via Adaptive Angular Distillation
Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao
SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection
Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao
Optimize What You Evaluate with: Search Result Diversification Based on Approximate Metric Optimization
Hai-Tao Yu
Speeding up the RUL ̄ Dynamic-Controllability-Checking Algorithm for Simple Temporal Networks with
Uncertainty
Luke Hunsberger, Roberto Posenato
Patch Diffusion: A General Module for Face Manipulation Detection
Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang
Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer
Sunwoo Kim, Soohyun Kim, Seungryong Kim
Complementary Attention Gated Network for Pedestrian Trajectory Prediction
Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua
Homography Decomposition Networks for Planar Object Tracking
Xinrui Zhan, Yang Li, Yueran Liu, Jianke Zhu
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing
Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu
Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection
Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Lizhuang Ma
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu
How to Distribute Data across Tasks for Meta-Learning?
Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel Garcia, Da-shan Shiu,
Alberto Bernacchia
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu
New Results in Bounded-Suboptimal Search
Maximilian Fickert, Tianyi Gu, Wheeler Ruml
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-Trained Source
Models
Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo
Bi-Volution: A Static and Dynamic Coupled Filter
Xiwei Hu, Xuanhong Chen, Bingbing Ni, Teng Li, Yutian Liu
Operator-Potential Heuristics for Symbolic Search
Daniel Fišer, Alvaro Torralba, Jörg Hoffmann
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching
Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang
Powering Finetuning for Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides
Vision Transformers are Robust Learners
Sayak Paul, Pin-Yu Chen
Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation
Lukáš Chrpa, Pavel Rytíř, Rostislav Horčík, Stefan Edelkamp
Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models
Juan Ramirez-Orta, Eduardo Xamena, Ana Maguitman, Evangelos Milios, Axel J. Soto
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation
Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang
Unsupervised Underwater Image Restoration: From a Homology Perspective
Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding
SOIT: Segmenting Objects with Instance-Aware Transformers
Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan
Width & Depth Pruning for Vision Transformers
Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui
Explore Inter-Contrast between Videos via Composition for Weakly Supervised Temporal Sentence
Grounding
Jiaming Chen, Weixin Luo, Wei Zhang, Lin Ma
LaSSL: Label-Guided Self-Training for Semi-Supervised Learning
Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao
AdaptivePose: Human Parts as Adaptive Points
Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Guoli Wang, Qian Zhang, Mingshu He
Learning Quality-Aware Representation for Multi-Person Pose Regression
Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang
Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical
Variables
Lifeng Zhang, Shimo Yang, Hongxun Jiang
Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition
Jian Jia, Naiyu Gao, Fei He, Xiaotang Chen, Kaiqi Huang
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, Dongming Lu
Deep Spatial Adaptive Network for Real Image Demosaicing
Tao Zhang, Ying Fu, Cheng Li
Shape-Adaptive Selection and Measurement for Oriented Object Detection
Liping Hou, Ke Lu, Jian Xue, Yuqiu Li
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed
ClassificationXiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang
Towards High-Fidelity Face Self-Occlusion Recovery via Multi-View Residual-Based GAN Inversion
Jinsong Chen, Hu Han, Shiguang Shan
Cross-Species 3D Face Morphing via Alignment-Aware Controller
Xirui Yan, Zhenbo Yu, Bingbing Ni, Hang Wang
OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot
Unsupervised Image-to-Image Translation
Lifan Zhao, Yunlong Meng, Lin Xu
Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting
Huangjie Yu, Anpei Chen, Xin Chen, Lan Xu, Ziyu Shao, Jingyi Yu
Towards a Rigorous Evaluation of Time-Series Anomaly Detection
Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Boosting Contrastive Learning with Relation Knowledge Distillation
Kai Zheng, Yuanjiang Wang, Ye Yuan
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
Fangyuan Zhang, Tianxiang Pan, Bin Wang
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation
Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
Unbiased IoU for Spherical Image Object Detection
Feng Dai, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Peng Yuan, Chenggang Yan, Qiang Zhao
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Texas Hold’em from End-to-
End Reinforcement Learning
Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing
Interact, Embed, and EnlargE (IEEE): Boosting Modality-Specific Representations for Multi-Modal Person Re-
Identification
Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang
Active Boundary Loss for Semantic Segmentation
Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Weiwei Xu
Safe Distillation Box
Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks
Nicholas Hoernle, Rafael Michael Karampatsis, Vaishak Belle, Kobi Gal
Temporal Action Proposal Generation with Background Constraint
Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
Xianpeng Liu, Nan Xue, Tianfu Wu
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition
Ola Ahmad, Freddy Lecue
Generalized Stochastic Matching
Alireza Farhadi, Jacob Gilbert, MohammadTaghi Hajiaghayi
Exploiting Invariance in Training Deep Neural Networks
Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov
MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search
Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig
Anytime Guarantees Under Heavy-Tailed Data
Matthew J. Holland
ProtGNN: Towards Self-Explaining Graph Neural Networks
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, CheeKong Lee
Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation
Binjie Mao, Xinbang Zhang, Lingfeng Wang, Qian Zhang, Shiming Xiang, Chunhong Pan
Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition
Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie
Disentangled Spatiotemporal Graph Generative Model
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Zhao Liang
Restorable Image Operators with Quasi-Invertible Networks
Hao Ouyang, Tengfei Wang, Qifeng Chen
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement
Learning
Abdus Salam Azad, Edward Kim, Mark Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto Sangiovanni-Vincentelli,
Sanjit Seshia
Improving Evidential Deep Learning via Multi-Task Learning
Dongpin Oh, Bonggun Shin
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising
Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji
Adversarial Learning from Crowds
Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
Defending Against Model Stealing via Verifying Embedded External Features
Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
GenCo: Generative Co-Training for Generative Adversarial Networks with Limited Data
Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
Chuanxin Tang, Yucheng Zhao, Guangting Wang, Chong Luo, Wenxuan Xie, Wenjun Zeng
Differentially Private Normalizing Flows for Synthetic Tabular Data Generation
Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro
Meta-Learning for Online Update of Recommender Systems
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
Heterogeneous Facility Location with Limited Resources
Argyrios Deligkas, Aris Filos Ratsikas, Alexandros A. Voudouris
Federated Learning for Face Recognition with Gradient Correction
Yifan Niu, Weihong Deng
Molecular Contrastive Learning with Chemical Element Knowledge Graph
Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan,
Huajun Chen
DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions
Jonathan Raiman
Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints
Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan
A Calculus for Computing Structured Justifications for Election Outcomes
Arthur Boixel, Ulle Endriss, Ronald de Haan
Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang
Attention-Based Transformation from Latent Features to Point Clouds
Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin
Discovering Interpretable Data-to-Sequence Generators
Boris Wiegand, Dietrich Klakow, Jilles Vreeken
Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form
Formula
Sagar Malhotra, Luciano Serafini
Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching
Markets
Niclas Boehmer, Klaus Heeger, Rolf Niedermeier
DiPS: Differentiable Policy for Sketching in Recommender Systems
Aritra Ghosh, Saayan Mitra, Andrew Lan
Event-Image Fusion Stereo Using Cross-Modality Feature Propagation
Hoonhee Cho, Kuk-Jin Yoon
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw
Speech
Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence
Alina Ene, Huy L. Nguyen
BERTMap: A BERT-Based Ontology Alignment System
Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks
Learning from Weakly-Labeled Web Videos via Exploring Sub-Concepts
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang
Parameter Differentiation Based Multilingual Neural Machine Translation
Qian Wang, Jiajun Zhang
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Hanjie Chen, Yangfeng Ji
Is There a Strongest Die in a Set of Dice with the Same Mean Pips?
Shang Lu, Shuji Kijima
Efficient Non-Local Contrastive Attention for Image Super-Resolution
Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search
Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina
Self-Supervised Pre-Training for Protein Embeddings Using Tertiary Structures
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang
XLM-K: Improving Cross-Lingual Language Model Pre-Training with Multilingual Knowledge
Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafał Kurczab, Marek
Śmieja
Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection
Jinpeng Dong, Yuhao Huang, Songyi Zhang, Shitao Chen, Nanning Zheng
Reforming an Envy-Free Matching
Takehiro Ito, Yuni Iwamasa, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yuta Nozaki, Yoshio
Okamoto, Kenta Ozeki
Uncertainty-Driven Dehazing Network
Ming Hong, Jianzhuang Liu, Cuihua Li, Yanyun Qu
Edge-Aware Guidance Fusion Network for RGB–Thermal Scene Parsing
Wujie Zhou, Shaohua Dong, Caie Xu, Yaguan Qian
Adversarial Attack for Asynchronous Event-Based Data
WooJu Lee, Hyun Myung
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu
PetsGAN: Rethinking Priors for Single Image Generation
Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou
Combating Adversaries with Anti-Adversaries
Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi, Philip H.S. Torr, Bernard Ghanem
"I Don’t Think So”: Summarizing Policy Disagreements for Agent Comparison
Yotam Amitai, Ofra Amir
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang
Adversarial Robustness in Multi-Task Learning: Promises and Illusions
Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
Entropy-Based Logic Explanations of Neural Networks
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration
Zhi Chen, Fan Yang, Wenbing Tao
Diagnostics-Guided Explanation Generation
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-
Identification
Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo
VECA: A New Benchmark and Toolkit for General Cognitive Development
Kwanyoung Park, Hyunseok Oh, Youngki Lee
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
Learngene: From Open-World to Your Learning Task
Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation
Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification
Xuwei Qian, Renlong Hang, Qingshan Liu
Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for
Counterfactual Prediction
Zongzhao Li, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang
Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation
Wanli Peng, Jianhang Yan, Hongtao Wen, Yi Sun
Flexible Instance-Specific Rationalization of NLP Models
George Chrysostomou, Nikolaos Aletras
Multi-Unit Auction in Social Networks with Budgets
Mingyu Xiao, Yuchao Song, Bakh Khoussainov
Explainable Planner Selection for Classical Planning
Patrick Ferber, Jendrik Seipp
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci, Yann Dauphin, Yani Ioannou, Cem Keskin
Optimal Sampling Gaps for Adaptive Submodular Maximization
Shaojie Tang, Jing Yuan
PlanVerb: Domain-Independent Verbalization and Summary of Task Plans
Gerard Canal, Senka Krivić, Paul Luff, Andrew Coles
Deep Recurrent Neural Network with Multi-Scale Bi-Directional Propagation for Video Deblurring
Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang
Interpretable Clustering via Multi-Polytope Machines
Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung Phan, Chandra Reddy
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition
Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo yuan
NAREOR: The Narrative Reordering Problem
Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard Hovy
Planning with Explanations for Finding Desired Meeting Points on Graphs
Keisuke Otaki
Algorithmic Bayesian Persuasion with Combinatorial Actions
Kaito Fujii, Shinsaku Sakaue
Not All Parameters Should be Treated Equally: Deep Safe Semi-Supervised Learning under Class Distribution
Mismatch
Rundong He, Zhongyi Han, Yang Yang, Yilong Yin
Gaussian Process Bandits with Aggregated Feedback
Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces
Andrés G Jaramillo-Yánez, Marco E. Benalcázar, Sebastian Sardina, Fabio Zambetta
SJDL-Vehicle: Semi-Supervised Joint Defogging Learning for Foggy Vehicle Re-Identification
Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning
Approach
Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education
Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and
Heterophily
Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang
FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos
Juan Hu, Xin Liao, Jinwen Liang, Wenbo Zhou, Zheng Qin
Deeply Tensor Compressed Transformers for End-to-End Object Detection
Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen
Lifelong Person Re-Identification by Pseudo Task Knowledge Preservation
Wenhang Ge, Junlong Du, Ancong Wu, Yuqiao Xian, Ke Yan, Feiyue Huang, Wei-Shi Zheng
Extended Goal Recognition Design with First-Order Computation Tree Logic
Tsz-Chiu Au
Semi-Supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation
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Consistency Regularization for Adversarial Robustness
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Pretrained Cost Model for Distributed Constraint Optimization Problems
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Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
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GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
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Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization
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Single-Agent Dynamics in Additively Separable Hedonic Games
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Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
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EqGNN: Equalized Node Opportunity in Graphs
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Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation
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Reference-Based Speech Enhancement via Feature Alignment and Fusion Network
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Style-Guided and Disentangled Representation for Robust Image-to-Image Translation
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NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural
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Reinforcement Learning with Stochastic Reward Machines
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On the Impossibility of Non-Trivial Accuracy in Presence of Fairness Constraints
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Listwise Learning to Rank Based on Approximate Rank Indicators
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BROS: A Pre-Trained Language Model Focusing on Text and Layout for Better Key Information Extraction
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Idiomatic Expression Paraphrasing without Strong Supervision
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Maximizing Nash Social Welfare in 2-Value Instances
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Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
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Certified Robustness of Nearest Neighbors Against Data Poisoning and Backdoor Attacks
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Chaining Value Functions for Off-Policy Learning
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Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
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Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder
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CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets
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MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators
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Axiomatization of Aggregates in Answer Set Programming
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Hierarchical Context Tagging for Utterance Rewriting
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DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding
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Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
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Achieving Long-Term Fairness in Sequential Decision Making
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Cosine Model Watermarking Against Ensemble Distillation
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QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum
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MDPGT: Momentum-Based Decentralized Policy Gradient Tracking
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Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings
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Simple Unsupervised Graph Representation Learning
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Contrast-Enhanced Semi-Supervised Text Classification with Few Labels
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Perceptual Quality Assessment of Omnidirectional Images
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Clinical-BERT: Vision-Language Pre-Training for Radiograph Diagnosis and Reports Generation
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Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
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SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual
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Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network
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An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
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Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
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Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification
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DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement
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Modeling Attrition in Recommender Systems with Departing Bandits
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A Novel Approach to Solving Goal-Achieving Problems for Board Games
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Structure Learning-Based Task Decomposition for Reinforcement Learning In Non-Stationary Environments
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DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
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Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
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Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
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Parameterized Approximation Algorithms for k-Center Clustering and Variants
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Semantically Contrastive Learning for Low-Light Image Enhancement
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Generative Adaptive Convolutions for Real-World Noisy Image Denoising
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A Self-Supervised Mixed-Curvature Graph Neural Network
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Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration
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HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks
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Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations
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Reliable Propagation-Correction Modulation for Video Object SegmentationXiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu
Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains
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Anisotropic Additive Quantization for Fast Inner Product Search
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Shrinking Temporal Attention in Transformers for Video Action Recognition
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CoCoS: Enhancing Semi-Supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing
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Parallel and High-Fidelity Text-to-Lip Generation
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Chunk Dynamic Updating for Group Lasso with ODEs
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DialogLM: Pre-Trained Model for Long Dialogue Understanding and Summarization
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Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
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BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
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Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval
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Robust Depth Completion with Uncertainty-Driven Loss Functions
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MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion
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InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
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Towards Bridging Sample Complexity and Model Capacity
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Two Compacted Models for Efficient Model-Based Diagnosis
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Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization
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Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
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Complexity of Deliberative Coalition Formation
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Word Level Robustness Enhancement: Fight Perturbation with Perturbation
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Learning from Label Proportions with Prototypical Contrastive Clustering
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On the Impact of Spurious Correlation for Out-of-Distribution Detection
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Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
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Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
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Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised
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Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation
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Coarse-to-Fine Generative Modeling for Graphic Layouts
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Learning to Walk with Dual Agents for Knowledge Graph Reasoning
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Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms
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SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
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A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations
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Fast Sparse Decision Tree Optimization via Reference Ensembles
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Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
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Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-
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Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu
DeepHardMark: Towards Watermarking Neural Network Hardware
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Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
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Algorithmic Fairness Verification with Graphical Models
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Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation
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Wasserstein Unsupervised Reinforcement Learning
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Sim2Real Object-Centric Keypoint Detection and Description
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NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting
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KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-Training
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Dual Decoupling Training for Semi-Supervised Object Detection with Noise-Bypass Head
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TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text
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JAKET: Joint Pre-Training of Knowledge Graph and Language Understanding
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Towards an Effective Orthogonal Dictionary Convolution Strategy
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Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
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Augmentation-Free Self-Supervised Learning on Graphs
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Multi-View Intent Disentangle Graph Networks for Bundle Recommendation
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Self-Supervised Pretraining for RGB-D Salient Object Detection
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EtinyNet: Extremely Tiny Network for TinyML
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Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
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Adaptive Orthogonal Projection for Continual Learning
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Deep Unsupervised Hashing with Latent Semantic Components
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Cross-Domain Collaborative Normalization via Structural Knowledge
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Text is No More Enough! A Benchmark for Profile-Based Spoken Language UnderstandingXiao Xu, Libo Qin, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che, Ting Liu
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models
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MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition
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Multi-Type Urban Crime Prediction
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Robust Tests in Online Decision-Making
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RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning
Hansheng Xue, Vijini G Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin
Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning
Huanqin Wu, Baijiaxin Ma, Wei Liu, Tao Chen, Dan Nie
Correlation Field for Boosting 3D Object Detection in Structured Scenes
Jianhua Sun, Hao-Shu Fang, Xianghui Zhu, Jiefeng Li, Cewu Lu
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation
Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin
Deep Fusing Pre-Trained Models into Neural Machine Translation
Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang
Deep One-Class Classification via Interpolated Gaussian Descriptor
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
Reconfiguring Shortest Paths in Graphs
Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar, Abhiruk Lahiri
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening
Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng
Instance Selection: A Bayesian Decision Theory Perspective
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining
Minghang Zheng, Yanjie Huang, Yang Liu, Qingchao Chen
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations
Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li
Ensemble Semi-Supervised Entity Alignment via Cycle-Teaching
Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation
Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu
Rethinking the Two-Stage Framework for Grounded Situation Recognition
Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang
Obtaining Calibrated Probabilities with Personalized Ranking Models
Wonbin Kweon, SeongKu Kang, Hwanjo Yu
Scaling Neural Program Synthesis with Distribution-Based Search
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Zero Stability Well Predicts Performance of Convolutional Neural Networks
Liangming Chen, Long Jin, Mingsheng Shang
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
Rui Zhang, Shihua Zhang
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation
Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang
How to Find a Good Explanation for Clustering?
Sayan Bandyapadhyay, Fedor Fomin, Petr Golovach, William Lochet, Nidhi Purohit, Kirill Simonov
RID-Noise: Towards Robust Inverse Design under Noisy Environments
Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan
Split Moves for Monte-Carlo Tree Search
Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykuła, Mark H. M. Winands
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation
Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs
Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng
Participatory Budgeting with Donations and Diversity Constraints
Jiehua Chen, Martin Lackner, Jan Maly
Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs
Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein
Sharp Analysis of Random Fourier Features in Classification
Zhu Li
DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior
Shuangping Jin, Bingbing Yu, Minhao Jing, Yi Zhou, Jiajun Liang, Renhe Ji
Leaping through Time with Gradient-Based Adaptation for Recommendation
Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
Balanced Self-Paced Learning for AUC Maximization
Chenkang Zhang, Bin Gu, Huan Xiong, Heng Huang
Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees
Ruiwei Wang, Roland H. C. Yap
On the Computation of Necessary and Sufficient Explanations
Adnan Darwiche, Chunxi Ji
Graph-Based Point Tracker for 3D Object Tracking in Point Clouds
Minseong Park, Hongje Seong, Wonje Jang, Euntai Kim
Fully Spiking Variational Autoencoder
Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada
Self-Supervised Enhancement of Latent Discovery in GANs
Adarsh Kappiyath, Silpa Vadakkeeveetil Sreelatha, S Sumitra
Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-Directional Mutual
Learning
Xiaohang Bian, Bo Qin, Xiaozhe Xin, Jianwu Li, Xuefeng Su, Yanfeng Wang
UNISON: Unpaired Cross-Lingual Image Captioning
Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq Joty, Jiuxiang Gu
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
Aviv Tamar, Daniel Soudry, Ev Zisselman
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints
Jinyang Yuan, Bin Li, Xiangyang Xue
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation
Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang
UFPMP-Det:Toward Accurate and Efficient Object Detection on Drone Imagery
Yecheng Huang, Jiaxin Chen, Di Huang
PolygonE: Modeling N-Ary Relational Data as Gyro-Polygons in Hyperbolic Space
Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li, Qing Liu, Nayu Liu, Shensi Wang
Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae
Weilin Luo, Hai Wan, Pingjia Liang, Jianfeng Du, Bo Peng, Delong Zhang
Learning Not to Learn: Nature versus Nurture in Silico
Robert Tjarko Lange, Henning Sprekeler
Improving Local Search Algorithms via Probabilistic Configuration Checking
Weilin Luo, Hai Wan, Rongzhen Ye, Shaowei Cai, Biqing Fang, Delong Zhang
REMOTE: Reinforced Motion Transformation Network for Semi-Supervised 2D Pose Estimation in Videos
Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets
Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images
Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing
Zhang
RRL: Regional Rotate Layer in Convolutional Neural Network
Zongbo Hao, Tao Zhang, Mingwang Chen, Kaixu Zhou
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
ER: Equivariance Regularizer for Knowledge Graph Completion
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery
Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan
Distribution Aware VoteNet for 3D Object Detection
Junxiong Liang, Pei An, Jie Ma
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen, Jianke Zhu
Universal and Tight Online Algorithms for Generalized-Mean Welfare
Siddharth Barman, Arindam Khan, Arnab Maiti
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole
Slide Image Analysis
Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang
Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval
Tieying Li, Xiaochun Yang, Bin Wang, Chong Xi, Hanzhong Zheng, Xiangmin Zhou
Decentralized Mean Field Games
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Multi-Agent Incentive Communication via Decentralized Teammate Modeling
Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang
Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
Shimin Li, Hang Yan, Xipeng Qiu
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay
Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures
Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia, Binxing Fang
Self-Supervised Audio-and-Text Pre-Training with Extremely Low-Resource Parallel Data
Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou
CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition
Qiangchang Wang, Guodong Guo
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
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Pose-Guided Feature Disentangling for Occluded Person Re-Identification Based on Transformer
Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
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Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim,
Heuiseok Lim
Scaling Up Influence Functions
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(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering
Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes
Florent Delgrange, Ann Nowé, Guillermo A. Pérez
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
Generalized Equivariance and Preferential Labeling for GNN Node Classification
Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang
Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit
Nikolai Karpov, Qin Zhang
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents
Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song
Deep Graph Clustering via Dual Correlation ReductionYue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
The King is Naked: On the Notion of Robustness for Natural Language Processing
Emanuele La Malfa, Marta Kwiatkowska
Reducing Flipping Errors in Deep Neural Networks
Xiang Deng, Xiao Yun, Bo Long, Zhongfei Zhang
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
Causal Discovery in Hawkes Processes by Minimum Description Length
Amirkarsa Jalaldoust, Katerina Hlavackova-Schindler, Claudia Plant
Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification
Zhenhailong Wang, Heng Ji
Cross-Task Knowledge Distillation in Multi-Task Recommendation
Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
Fast Monte-Carlo Approximation of the Attention Mechanism
Hyunjun Kim, JeongGil Ko
Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation
Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao
Reasoning About Causal Models with Infinitely Many Variables
Joseph Y. Halpern, Spencer Peters
Directed Graph Auto-Encoders
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie Lozano, Naoki Abe
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning
Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam
Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network
Yuqi Ren, Deyi Xiong
Pizza Sharing is PPA-Hard
Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos
Block Modeling-Guided Graph Convolutional Neural Networks
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Playing Lottery Tickets with Vision and Language
Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu
Seizing Critical Learning Periods in Federated Learning
Gang Yan, Hao Wang, Jian Li
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
TEACh: Task-Driven Embodied Agents that Chat
Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella,
Robinson Piramuthu, Gokhan Tur, Dilek Hakkani-Tur
Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code
Understanding
Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker, Kavitha Srinivas
Learning Parameterized Task Structure for Generalization to Unseen Entities
Anthony Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee
Two-Price Equilibrium
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Fair and Efficient Allocations of Chores under Bivalued Preferences
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ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity
Recognition
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Gradient Temporal Difference with Momentum: Stability and Convergence
Rohan Deb, Shalabh Bhatnagar
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
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Stochastic Goal Recognition Design Problems with Suboptimal Agents
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Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
Frederik Baymler Mathiesen, Bin Yang, Jilin Hu
Worst-Case Voting When the Stakes are High
Anson Kahng, Gregory Kehne
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling
Yizhe Zhang, Siqi Sun, Yuwei Fang, Xiang Gao, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
Multi-Modal Answer Validation for Knowledge-Based VQA
Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
Dimensionality and Coordination in Voting: The Distortion of STV
Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method
Xiaoxia Wu, Simon Du, Yuege Xie, Rachel Ward
Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation
Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
Manon Revel, Tao Lin, Daniel Halpern
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework
Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
LogicDef: An Interpretable Defense Framework Against Adversarial Examples via Inductive Scene Graph
Reasoning
Yuan Yang, James C Kerce, Faramarz Fekri
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu
Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds
Brendan Juba, Roni Stern
Active Sampling for Text Classification with Subinstance Level Queries
Shayok Chakraborty, Ankita Singh
ValueNet: A New Dataset for Human Value Driven Dialogue System
Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu
Temporal Knowledge Graph Completion Using Box Embeddings
Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan
Semantic Feature Extraction for Generalized Zero-Shot Learning
Junhan Kim, Kyuhong Shim, Byonghyo Shim
Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang
Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding
Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig
Online Missing Value Imputation and Change Point Detection with the Gaussian Copula
Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell
Coordinating Momenta for Cross-Silo Federated Learning
An Xu, Heng Huang
Equity Promotion in Online Resource Allocation
Pan Xu, Yifan Xu
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising
Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Natural Black-Box Adversarial Examples Against Deep Reinforcement Learning
Mengran Yu, Shiliang Sun
CF-DETR: Coarse-to-Fine Transformers for End-to-End Object Detection
Xipeng Cao, Peng Yuan, Bailan Feng, Kun Niu
Transmission-Guided Bayesian Generative Model for Smoke Segmentation
Siyuan Yan, Jing Zhang, Nick Barnes
Unsupervised Deep Keyphrase Generation
Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang
Undercover Boolean Matrix Factorization with MaxSAT
Florent Avellaneda, Roger Villemaire
Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks
Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu, Chonggang Wang
Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies
Abdullah Albanyan, Eduardo Blanco
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
Andre T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media
Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma
On the Transferability of Pre-Trained Language Models: A Study from Artificial Datasets
Cheng-Han Chiang, Hung-yi Lee
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics
Sean Welleck, Peter West, Jize Cao, Yejin Choi
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations
Seunggyu Chang, Jungchan Cho, Songhwai Oh
Language Modelling via Learning to Rank
Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz
Characterizing the Program Expressive Power of Existential Rule Languages
Heng Zhang, Guifei Jiang
Identification of Linear Latent Variable Model with Arbitrary Distribution
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai
Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization
Zi-Yi Dou, Nanyun (Violet) Peng
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions
Yuanhong Wang, Timothy van Bremen, Yuyi Wang, Ondřej Kuželka
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification
Jian Han, Yali Li, Shengjin Wang
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
An Exact Algorithm with New Upper Bounds for the Maximum
k
k
k-Defective Clique Problem in Massive
Sparse Graphs
Jian Gao, Zhenghang Xu, Ruizhi Li, Minghao Yin
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks
Haedong Jeong, Jiyeon Han, Jaesik Choi
Logic Rule Guided Attribution with Dynamic Ablation
Jianqiao An, Yuandu Lai, Yahong Han
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning
Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu
Chang
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection
Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy
Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction
Chang-You Tai, Ming-Yao Li, Lun-Wei Ku
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu
Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation
Xiang Zhang, Wanqing Zhao, Hangzai Luo, Jinye Peng, Jianping Fan
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation
Shidi Li, Miaomiao Liu, Christian Walder
Multilingual Code Snippets Training for Program Translation
Ming Zhu, Karthik Suresh, Chandan K. Reddy
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection
Shuo Li, Fang Liu, Licheng Jiao
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes
Yi-Xuan Sun, Wei Wang
KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation
Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong
Su
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive
Representation Learning
Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng
Neural Piecewise-Constant Delay Differential Equations
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg
Niaz Ahmad, Jawad Khan, Jeremy Yuhyun Kim, Youngmoon Lee
Cross-Modal Coherence for Text-to-Image Retrieval
Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone
Bayesian Optimization over Permutation Spaces
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim
Learning to Search in Local Branching
Defeng Liu, Matteo Fischetti, Andrea Lodi
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo
Goal Recognition as Reinforcement Learning
Leonardo Amado, Reuth Mirsky, Felipe Meneguzzi
Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading
Minsu Kim, Jeong Hun Yeo, Yong Man Ro
Elastic-Link for Binarized Neural Networks
Jie Hu, Ziheng Wu, Vince Tan, Zhilin Lu, Mengze Zeng, Enhua Wu
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via
Drawing Early-Bird Lottery Tickets
Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin
Laneformer: Object-Aware Row-Column Transformers for Lane Detection
Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang
Defending Graph Convolutional Networks Against Dynamic Graph Perturbations via Bayesian Self-
Supervision
Jun Zhuang, Mohammad Al Hasan
DKPLM: Decomposable Knowledge-Enhanced Pre-Trained Language Model for Natural Language
Understanding
Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
Yichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, Tong Xu
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Chang Lu, Tian Han, Yue Ning
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization
Zixing Song, Irwin King
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
FedProto: Federated Prototype Learning Across Heterogeneous Clients
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
CEM: Commonsense-Aware Empathetic Response Generation
Sahand Sabour, Chujie Zheng, Minlie Huang
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency
Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha
Private Rank Aggregation in Central and Local Models
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MINIMAL: Mining Models for Universal Adversarial Triggers
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Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
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Backdoor Attacks on the DNN Interpretation System
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When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty
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Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search
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Tractable Abstract Argumentation via Backdoor-Treewidth
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Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination
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Synthesis from Satisficing and Temporal Goals
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GoTube: Scalable Statistical Verification of Continuous-Depth Models
Sophie Gruenbacher, Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A Henzinger, Scott A. Smolka, Radu
Grosu
Robust Optimal Classification Trees Against Adversarial Examples
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Safe Subgame Resolving for Extensive Form Correlated Equilibrium
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Bounding Quality in Diverse Planning
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TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition
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Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
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The SoftCumulative Constraint with Quadratic Penalty
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ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation
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Multi-Leader Congestion Games with an AdversaryTobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel
OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
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A Search and Bound-Sensitive Heuristics for Oversubscription Planning*
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Lifelong Generative Modelling Using Dynamic Expansion Graph Model
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Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting
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JFB: Jacobian-Free Backpropagation for Implicit Networks
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Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows
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Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local
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NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency
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CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
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When Can the Defender Effectively Deceive Attackers in Security Games?
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Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global
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Planning with Biological Neurons and Synapses
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Formula Synthesis in Propositional Dynamic Logic with Shuffle
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Context-Based Contrastive Learning for Scene Text Recognition
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Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-
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Differentially Describing Groups of Graphs
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Expressivity of Planning with Horn Description Logic Ontologies
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Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for
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Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
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LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition
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Policy Optimization with Stochastic Mirror Descent
Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan
Efficiency of Ad Auctions with Price Displaying
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Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models
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Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge
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Unit Selection with Causal Diagram
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Introducing Symmetries to Black Box Meta Reinforcement Learning
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ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
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Bounds on Causal Effects and Application to High Dimensional Data
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Compilation of Aggregates in ASP Systems
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Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information
Janis Kalofolias, Jilles Vreeken
Answering Queries with Negation over Existential Rules
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Combating Collusion Rings is Hard but Possible
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Rushing and Strolling among Answer Sets - Navigation Made Easy
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Zero-Shot Out-of-Distribution Detection Based on the Pre-Trained Model CLIP
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Decompose the Sounds and Pixels, Recompose the Events
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Learning from the Tangram to Solve Mini Visual Tasks
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ErfAct and Pserf: Non-Monotonic Smooth Trainable Activation Functions
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The Metric Distortion of Multiwinner Voting
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Chess as a Testbed for Language Model State Tracking
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EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
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Language Model Priming for Cross-Lingual Event Extraction
Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee
Subset Approximation of Pareto Regions with Bi-Objective A*
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Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube
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6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing
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Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with
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LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian
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An Axiomatic Approach to Revising Preferences
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First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics
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FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
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Equivalence in Argumentation Frameworks with a Claim-Centric View – Classical Results with Novel
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Cross-Lingual Adversarial Domain Adaptation for Novice Programming
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Neural Networks Classify through the Class-Wise Means of Their Representations
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Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation
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Inconsistent Planning: When in Doubt, Toss a Coin!
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Safe Online Convex Optimization with Unknown Linear Safety Constraints
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CTIN: Robust Contextual Transformer Network for Inertial Navigation
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NICE: Robust Scheduling through Reinfrocement Learning-Guided Integer Programming
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Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
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Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample
Efficiency
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Stability Verification in Stochastic Control Systems via Neural Network Supermartingales
Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee, Thomas A. Henzinger
Constraint-Driven Explanations for Black-Box ML Models
Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S. Meel, Joao Marques-Silva, Moshe Y. Vardi
Learning to Transfer with von Neumann Conditional Divergence
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PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Ga Wu, Masoud Hashemi, Christopher Srinivasa
Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving
Inhan Kim, Joonyeong Lee, Daijin Kim
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-Optimal Demonstrations
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge
Haodi Zhang, Zhichao Zeng, Keting Lu, Kaishun Wu, Shiqi Zhang
Using Conditional Independence for Belief Revision
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CAISE: Conversational Agent for Image Search and Editing
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Backprop-Free Reinforcement Learning with Active Neural Generative Coding
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Toward Physically Realizable Quantum Neural Networks
Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and
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Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-Identification
Ammarah Farooq, Muhammad Awais, Josef Kittler, Syed Safwan Khalid
Deceptive Decision-Making under Uncertainty
Yagiz Savas, Christos K. Verginis, Ufuk Topcu
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan Oseledets
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
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Tractable Explanations for d-DNNF Classifiers
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C Cooper, Nicholas Asher, Joao Marques-Silva
STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach
Sveva Pepe, Edoardo Barba, Rexhina Blloshmi, Roberto Navigli
Proportional Public Decisions
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Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
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From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact
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Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games
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Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
Siddhant Arora, Danish Pruthi, Norman Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig
Generalization in Mean Field Games by Learning Master Policies
Sarah Perrin, Mathieu Lauriere, Julien Perolat, Romuald Elie, Matthieu Geist, Olivier Pietquin
Planning to Avoid Side Effects
Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu
Shrub Ensembles for Online Classification
Sebastian Buschjäger, Sibylle Hess, Katharina Morik
Incorporating Item Frequency for Differentially Private Set Union
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara
Knowledge Distillation via Constrained Variational Inference
Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-wei H. Lehman
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong, Cheng-I Jeff Lai, Yu-An Chung, James Glass
Offline Interactive Recommendation with Natural-Language Feedback
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events
Tyler Wilson, Pang-Ning Tan, Lifeng Luo
Fractional Adaptive Linear Units
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A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs
Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner
Differential Assessment of Black-Box AI Agents
Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava
Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles
Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization
Problems
Wenkang Zhan, Gang Wu, Hongchang Gao
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series
Analysis and Embedding
Sirisha Rambhatla, Zhengping Che, Yan Liu
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay
Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti
Semi-Supervised Learning with Multi-Head Co-Training
Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
TempoQR: Temporal Question Reasoning over Knowledge Graphs
Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip R. Howard, Tetiana
Grinberg, Nagib Hakim, George Karypis
MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion
Md Mofijul Islam, Tariq Iqbal
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
Kyle Richardson, Ashish Sabharwal
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees
and Tractability
Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong
Learning Human Driving Behaviors with Sequential Causal Imitation Learning
Kangrui Ruan, Xuan Di
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity
Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
Role of Human-AI Interaction in Selective Prediction
Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin Chadwick, Yoram Bachrach, Taylan Cemgil, Ulrich
Paquet, Krishnamurthy (Dj) Dvijotham
Locally Fair Partitioning
Pankaj K. Agarwal, Shao-Heng Ko, Erin Taylor, Kamesh Munagala
First-Order Convex Fitting and Its Application to Economics and Optimization
Quinlan Dawkins, Minbiao Han, Haifeng Xu
Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement
Kailun Luo, Yongmei Liu
An Algorithmic Introduction to Savings Circles
Rediet Abebe, Adam Eck, Christian Ikeokwu, Samuel Taggart
Transformer with Memory Replay
Rui Liu, Barzan Mozafari
Generation-Focused Table-Based Intermediate Pre-Training for Free-Form Question Answering
Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti,
Donald Weidner, Bing Xiang, Zhiguo Wang
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations
Shuang Li, Qiuwei Li
Unsupervised Anomaly Detection by Robust Density Estimation
Boyang Liu, Pang-Ning Tan, Jiayu Zhou
The Strange Role of Information Asymmetry in Auctions — Does More Accurate Value Estimation Benefit A
Bidder?
Haifeng Xu, Ruggiero Cavallo
Learning Losses for Strategic Classification
Tosca Lechner, Ruth Urner
SAS: Self-Augmentation Strategy for Language Model Pre-Training
Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and
Grounding
Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avi
Sil, Shih-Fu Chang, Alexander Schwing, Heng Ji
Geometry Interaction Knowledge Graph Embeddings
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Heterogeneous Peer Effects in the Linear Threshold Model
Christopher Tran, Elena Zheleva
Probing Linguistic Information for Logical Inference In Pre-Trained Language Models
Zeming Chen, Qiyue Gao
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations.
Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations
Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai
Conditional Generative Model Based Predicate-Aware Query Approximation
Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup Rao, Vikas
Maddukuri
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous
MDPs
Siow Meng Low, Akshat Kumar, Scott Sanner
SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation
Dongzhan Zhou, Xinchi Zhou, Di Hu, Hang Zhou, Lei Bai, Ziwei Liu, Wanli Ouyang
Subspace Differential Privacy
Jie Gao, Ruobin Gong, Fang-Yi Yu
A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Qian Lin, Hwee Tou Ng
Classifying Emails into Human vs Machine Category
Changsung Kang, Hongwei Shang, Jean-Marc Langlois
SplitFed: When Federated Learning Meets Split Learning
Chandra Thapa, M.A.P. Chamikara , Seyit Camtepe, Lichao Sun
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models
Robert Wolfe, Aylin Caliskan
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Vinayak Gupta, Srikanta Bedathur, Abir De
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu
A Nested Bi-Level Optimization Framework for Robust Few Shot Learning
Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh Iyer
Trusted Multi-View Deep Learning with Opinion Aggregation
Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang
STEM: Unsupervised STructural EMbedding for Stance Detection
Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik, Oren Tsur
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
Joonhyung Park, Hajin Shim, Eunho Yang
Top-Down Deep Clustering with Multi-Generator GANs
Daniel de Mello, Renato Assunção, Fabricio Murai
HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning
Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria
C2L: Causally Contrastive Learning for Robust Text Classification
Seungtaek Choi, Myeongho Jeong, Hojae Han, Seung-won Hwang
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation
Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian
Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects
Bianca Scarlini, Tommaso Pasini, Roberto Navigli
Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation
Alexis de Colnet, Stefan Mengel
Efficient Device Scheduling with Multi-Job Federated Learning
Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
A Variant of Concurrent Constraint Programming on GPU
Pierre Talbot, Frédéric Pinel, Pascal Bouvry
Nice Perfume. How Long did You Marinate in It? Multimodal Sarcasm Explanation
Poorav Desai, Tanmoy Chakraborty, Md Shad Akhtar
GALAXY: A Generative Pre-Trained Model for Task-Oriented Dialog with Semi-Supervised Learning and
Explicit Policy Injection
Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si,
Jian Sun, Yongbin Li
Unsupervised Adversarially Robust Representation Learning on Graphs
Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun
Interpretable Neural Subgraph Matching for Graph Retrieval
Indradyumna Roy, Venkata Sai Velugoti, Soumen Chakrabarti, Abir De
Distributed Randomized Sketching Kernel Learning
Rong Yin, Yong Liu, Dan Meng
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
Fixation Maximization in the Positional Moran Process
Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis, Asger Ullersted Rasmussen, Josef Tkadlec
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective.
Emmanuelle Salin, Badreddine Farah, Stéphane Ayache, Benoit Favre
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
Youngjo Lee, Hongje Seong, Euntai Kim
Multi-Scale Distillation from Multiple Graph Neural Networks
Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang
Synthetic Disinformation Attacks on Automated Fact Verification Systems
Yibing Du, Antoine Bosselut, Christopher D. Manning
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
Online Task Assignment Problems with Reusable Resources
Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi
Kawarabayashi
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-
Sectional Stock Returns
Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student
Assessment
Suyeong An, Junghoon Kim, Minsam Kim, Juneyoung Park
Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation
Jicong Fan
Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation
Nicholas Egan, Oleg Vasilyev, John Bohannon
Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic
Paolo Felli, Marco Montali, Sarah Winkler
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs
Ezgi Korkmaz
Random Tensor Theory for Tensor Decomposition
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Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification
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Learning Adversarial Markov Decision Processes with Delayed Feedback
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Locally Private
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k
k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal
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Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
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Optimal Tensor Transport
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Robustification of Online Graph Exploration Methods
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Learning-Augmented Algorithms for Online Steiner Tree
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Offline Reinforcement Learning as Anti-Exploration
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Geist
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CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
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Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
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Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
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An Adversarial Framework for Generating Unseen Images by Activation Maximization
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A Complete Criterion for Value of Information in Soluble Influence Diagrams
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iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
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Max-Margin Contrastive Learning
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Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
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Learning the Optimal Recommendation from Explorative Users
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Distributed Learning with Strategic Users: A Repeated Game Approach
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A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions
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Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
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Solving PDE-Constrained Control Problems using Operator LearningRakhoon Hwang, Jae Yong Lee, Jin Young Shin, Hyung Ju Hwang
NoiseGrad — Enhancing Explanationsby Introducing Stochasticity to Model Weights
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Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
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Reward-Weighted Regression Converges to a Global Optimum
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Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
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DevianceNet: Learning to Predict Deviance from A Large-Scale Geo-Tagged Dataset
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Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
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Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms
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Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
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Longitudinal Fairness with Censorship
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COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
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DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection
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ChildrEN SafEty and Rescue (CENSER) System for Trafficked Children from Brothels in India
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Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
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IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling
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Bayesian Optimisation for Active Monitoring of Air Pollution
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Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-Level Learning Framework
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Investigations of Performance and Bias in Human-AI Teamwork in Hiring
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Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim,
Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Fair Conformal Predictors for Applications in Medical Imaging
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Transcribing Natural Languages for The Deaf via Neural Editing ProgramsDongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li
Deep Movement Primitives: Toward Breast Cancer Examination Robot
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Ghalamzan E.
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier
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CODE: Contrastive Pre-Training with Adversarial Fine-Tuning for Zero-Shot Expert Linking
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Optimal Local Explainer Aggregation for Interpretable Prediction
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Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic
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Spanos
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CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
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D-Vlog: Multimodal Vlog Dataset for Depression Detection
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Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health
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Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai,
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Personalized Public Policy Analysis In Social Sciences Using Causal-Graphical Normalizing Flows
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Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning
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PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
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Sentence Simplification Capabilities of Transfer-Based Models
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LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to
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iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
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AAAI 2022 论文列表
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