【AAAI 2021】全部接受论文列表（二）

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校稿: ShuYini
时间: 2021-01-14

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AAAI 2021论文接收情况

人工智能顶级会议AAAI 2021 已经给出接收论文列表，共有1692篇论文被接收，录取率21%，比去年的20.6%稍微有些上升。单从数量上看，也比去年多了101篇。本届 AAAI 2021已经是第35 届会议了。据 AAAI 2021官方网站，这个 2021年首个人工智能顶会将全程线上举办，举办日期为2 月 2 日-2 月 9 日。

下面是AAAI2020接受的论文列表，欢迎大家Ctrl+F进行搜索。

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MVFNet: Multi-View Fusion Network for Efficient Video Recognition
Wenhao Wu, Dongliang He, Tianwei Lin, Fu Li, Chuang Gan, Errui Ding

Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model
Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan

RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning
Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan,
Chuang Gan

Anticipating Future Relations via Graph Growing for Action Prediction
Xinxiao Wu, Jianwei Zhao, Ruiqi Wang

TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from
Text-to-Speech Synthesis
Jing-Xuan Zhang, Korin Richmond, Zhen-Hua Ling, Lirong Dai

Unified Tensor Framework for Incomplete Multi-View Clustering and Missing-View Inferring
Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu

Spatial-Temporal Causal Inference for Partial Image-to-Video Adaptation
Jin Chen, Xinxiao Wu, Yao Hu, Jiebo Luo

Similarity Reasoning and Filtration for Image-Text Matching
Haiwen Diao, Ying Zhang, Huchuan Lu, Lin Ma

BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for
Temporal Action Proposal Generation
Haisheng Su, Weihao Gan, Wei Wu, Yu Qiao, Junjie Yan

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent
Semantic Parsing
Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei
Zhu, Xiaodan Zhu

Deep Unsupervised Image Hashing by Maximizing Bit Entropy
Yunqiang Li, Jan van Gemert

Pre-Training Context and Time Aware Location Embeddings from Spatial-Temporal
Trajectories for User Next Location Prediction
Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin

GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object
Detection by Grading the Box Candidates
Qifei Jia, Shikui Wei, Tao Ruan, Zhao Yufeng, Yao Zhao

Learning Comprehensive Motion Representation for Action Recognition
Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li,
Feiyue Huang, Xiaokang Yang

Dual-Level Collaborative Transformer for Image Captioning
Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin,
Rongrong Ji

Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency
Coherence
Siyue Yu, Bingfeng Zhang, Jimin Xiao, Eng Gee Lim

Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
Pengfei Chen, JunJie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng

Mind the Gap: Cake Cutting with Separation
Edith Elkind, Erel Segal-Halevi, Warut Suksompong

Quantum-Inspired Neural Network for Conversational Emotion Recognition
Qiuchi Li, Dimitris Gkoumas, Alessandro Sordoni, Jian-Yun Nie, Massimo Melucci

Memory-Augmented Image Captioning
Zhengcong Fei

AutoLR: Layer-Wise Pruning and Auto-Tuning of Learning Rates in Fine-Tuning of Deep
Networks
Youngmin Ro, Jin Young Choi

How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation
Approaches?
Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu

Retrospective Reader for Machine Reading Comprehension
Zhuosheng Zhang, Junjie Yang, Hai Zhao

Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray
Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He

Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
Yanlin Wang, Hui Li

Ranking Sets of Defeasible Elements in Preferential Approaches to Structured
Argumentation: Postulates, Relations, and Characterizations
Jan Maly, Johannes Peter Wallner

Translate the Facial Regions You Like Using Self-Adaptive Region Translation
Wenshuang Liu, Wenting Chen, Zhanjia Yang, Linlin Shen

LRC-BERT: Latent-Representation Contrastive Knowledge Distillation for Natural Language
Understanding
Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Liu GuiQuan, Kaikui Liu, Xiaolong Li

A Unified Framework for Planning with Learned Neural Network Transition Models
Buser Say

Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory
Prediction
Inhwan Bae, Hae-Gon Jeon

Inferring Emotion from Large-Scale Internet Voice Data: A Semi-Supervised Curriculum
Augmentation Based Deep Learning Approach
Suping Zhou, Jia Jia, Zhiyong Wu, Zhihan Yang, Yanfeng Wang, Wei Chen, Fanbo Meng, Shuo
Huang, Jialie Shen, Xiaochuan Wang

CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis
of ECG from PPG
Pritam Sarkar, Ali Etemad

Towards Domain Invariant Single Image Dehazing
Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim

Instrumental Variable-Based Identification for Causal Dffects Using Covariate Information
Yuta Kawakami

Choosing the Initial State for Online Replanning
Maximilian Fickert, Ivan Gavran, Ivan Fedotov, Joerg Hoffmann, Rupak Majumdar, Wheeler Ruml

Second Order Techniques for Learning Time-Series with Structural Breaks
Takayuki Osogami

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models
Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Neural Sentence Simplification with Semantic Dependency Information
Zhe Lin, Xiaojun Wan

Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts
Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang

HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning
Jiankai Sun, Rui Liu, Bolei Zhou

HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
Jakob Kruse, Gianluca Detommaso, Robert Scheichl, Ullrich Köthe

Targeted Negative Campaigning: Complexity and Approximations
Avishai Zagoury, Orgad Keller, Noam Hazon, Avinatan Hassidim

FracBits: Mixed Precision Quantization via Fractional Bit-Widths
Linjie Yang, Qing Jin

Few-Shot One-Class Classification via Meta-Learning
Ahmed Frikha, Denis Krompass, Hans-Georg Koepken, Volker Tresp

Joint Demosaicking and Denoising in the Wild: The Case of Training under Ground Truth
Uncertainty
Jierun Chen, Song Wen, Gary Chan

Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search
Taoan Huang, Sven Koenig, Bistra Dilkina

Correlative Channel-Aware Fusion for Multi-View Time Series Classification
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu

GAN Ensemble for Anomaly Detection
Xiaohui Chen, Xu Han, Liping Liu

Self-Supervised Hypergraph Convolutional Networks for Session-Based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
Xingchao Liu, Mao Ye, Denny Zhou, Qiang Liu

Longitudinal Deep Kernel Gaussian Process Regression
Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G Honavar

Generalized Adversarially Learned Inference
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai

Spectral Distribution Aware Image Generation
Steffen Jung, Margret Keuper

DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator
Attention and Self-Training
Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang

On Scalar Embedding of Relative Positions in Attention Models
Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang

Embedding Heterogeneous Networks into Hyperbolic Space without Meta-Path
Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, Soroush Vosoughi

Anomaly Attribution with Likelihood Compensation
Tsuyoshi Ide, Amit Dhurandhar, Jiri Navratil, Moninder Singh, Naoki Abe

Gradient Descent Averaging and Primal-Dual Averaging for Strongly Convex Optimization
Wei Tao, Wei Li, Zhisong Pan, Qing Tao

Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences
Zhi Chen, Fan Yang, Wenbing Tao

Neural Sequence-to-Grid Module for Learning Symbolic Rules
Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung

Local Relation Learning for Face Forgery Detection
Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji

Contrastive and Generative Graph Convolutional Networks for Graph-Based SemiSupervised Learning
Sheng Wan, Shirui Pan, Jian Yang, Chen Gong

Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition
Chongyang Ding, 凯刘, Jari Korhonen, Evgeny Belyaev

Dual Sparse Attention Network for Session-Based Recommendation
Jiahao Yuan, Mingyou Sun, Zihan Song, Xiaoling Wang, Wayne Xin Zhao

EQG-RACE: Examination-Type Question Generation
Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu

Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for
Multimodal Sentiment Analysis
Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu

Coupled Layer-Wise Graph Convolution for Transportation Demand Prediction
Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong

Distributed Ranking with Communications: Approximation Analysis and Applications
Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng

Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
Xudong Wang, Stella X Yu

Learnable Dynamic Temporal Pooling for Time Series Classification
Dongha Lee, Seonghyeon Lee, Hwanjo Yu

Learning to Check Contract Inconsistencies
Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng

Sparsity Aware Normalization for GANs
Idan Kligvasser, Tomer Michaeli

Improving Generative Moment Matching Networks with Distribution Partition
Yong Ren, Yucen Luo, Jun Zhu

Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu, Yiding Yang, Xinchao Wang

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic
Forecasting
Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian

Efficient Classification with Adaptive KNN
Puning Zhao, Lifeng Lai

ExGAN: Adversarial Generation of Extreme Samples
Siddharth Bhatia, Arjit Jain, Bryan Hooi

Coalition Formation in Multi-Defender Security Games
Dolev Mutzari, Jiarui Gan, Sarit Kraus

Terrace-Based Food Counting and Segmentation
Huu-Thanh Nguyen, Chong-Wah Ngo

SIMPLE: Single-Network with Mimicking and Point Learning for Bottom-Up Human Pose
Estimation
Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou

Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling
Salesman Problem
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chumin Li

FCFR-Net: Feature Fusion Based Coarse-to-Fine Residual Learning for Depth Completion
Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang

Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
Zengqun Zhao, Qingshan Liu, Feng Zhou

U-BERT: Pre-Training User Representations for Improved Recommendation
Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan

Efficient Deep Image Denoising via Class Specific Convolution
Lu XU, Jiawei Zhang, Xuanye Cheng, Feng Zhang, Xing Wei, Jimmy Ren

Estimation of Spectral Risk Measures
Ajay Kumar Pandey, Prashanth L.A., Sanjay P. P. Bhat

Stochastic Graphical Bandits with Adversarial Corruptions
Shiyin Lu, Guanghui Wang, Lijun Zhang

Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
Wenzhen Huang, Qiyue Yin, Junge Zhang, KAIQI HUANG

Strong Explanations in Abstract Argumentation
Markus Ulbricht, Johannes Peter Wallner

C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion
Transfer
Dongxu Wei, Xiaowei Xu, Haibin Shen, Kejie Huang

Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER
Shan Zhao, Minghao Hu, Zhiping Cai, Haiwen Chen, Fang Liu

Structure-Aware Person Image Generation with Pose Decomposition and Semantic
Correlation
Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou

A Model of Winners Allocation
Yongjie Yang

Discovering Fully Oriented Causal Networks
Osman A Mian, Alexander Marx, Jilles Vreeken

PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao

RESA: Recurrent Feature-Shift Aggregator for Lane Detection
Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai

Teaching Active Human Learners
Zizhe Wang, Hailong Sun

An Adaptive Hybrid Framework for Cross-Domain Aspect-Based Sentiment Analysis
Yan Zhou, Fuqing Zhu, pu song, Jizhong Han, Tao Guo, Songlin Hu

Warm Starting CMA-ES for Hyperparameter Optimization
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi

Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational
Cost of Cascade Inference Systems
Shohei Enomoro, Takeharu Eda

From Label Smoothing to Label Relaxation
Julian Lienen, Eyke Hüllermeier

Kernel-Convoluted Deep Neural Networks with Data Augmentation
Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik

Regret Bounds for Online Kernel Selection in Continuous Kernel Space
Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
Zemin Liu, Yuan Fang, Chenghao Liu, Steven Hoi

Proportionally Representative Participatory Budgeting with Ordinal Preferences
Haris Aziz, Barton Lee

FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction
Hai Wan, Manrong Zhang, Jianfeng Du, Ziling Huang, Yufei Yang, Jeff Z. Pan

Merging Statistical Feature via Adaptive Gate for Improved Text Classification
Xianming Li, Zongxi Li, Haoran Xie, Qing Li

Gaussian Process Priors for View-Aware Inference
Yuxin Hou, Ari Heljakka, Arno Solin

BT Expansion: A Sound and Complete Algorithm for Behavior Planning of Intelligent Robots
with Behavior Trees

Zhongxuan Cai, Minglong Li, Wanrong Huang, Wenjing Yang

Better Bounds on the Adaptivity Gap of Influence Maximization under Full-Adoption
Feedback
Gianlorenzo D’Angelo, Debashmita Poddar, Cosimo Vinci

Training Binary Neural Network without Batch Normalization for Image Super-Resolution
Xinrui Jiang, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang, Xinbo Gao

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension
Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, Rui Yan

Learning a Few-Shot Embedding Model with Contrastive Learning
Chen Liu, Li Zhang, Chengming Xu, Siqian Yang, Yanwei Fu, Jilin Li, Chengjie Wang

KGDet: Keypoint-Guided Fashion Detection
Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao

Arbitrary Video Style Transfer via Multi-Channel Correlation
Yingying Deng, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu

UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-
Yunyi Yang,
Yunhao Li, Xiaojun Quan

Learning a Gradient-Free Riemannian Optimizer on Tangent Spaces
Xiaomeng Fan, Zhi Gao, Yuwei WU, Yunde Jia, Mehrtash Harandi

DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
Weizhou Shen, Junqing Chen, Xiaojun Quan, Zhixian Xie

Maximin Fairness with Mixed Divisible and Indivisible Goods
Xiaohui Bei, Shengxin Liu, Xinhang Lu, Hongao Wang

On Lipschitz Regularization of Convolutional Layers Using Toeplitz Matrix Theory
Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif

The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via
Disentanglement
Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng

Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
Stefanos Leonardos, Georgios Piliouras

On the Complexity of Finding Justifications for Collective Decisions
Arthur Boixel, Ronald de Haan

Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection
Matteo Pegoraro, Mario Beraha

Task-Independent Knowledge Makes for Transferable Representations for Generalized ZeroShot Learning
Chaoqun Wang, Xuejin Chen, Shaobo Min, Xiaoyan Sun, Houqiang Li

An Efficient Algorithm for Deep Stochastic Contextual Bandits
Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

Computing the Proportional Veto Core
Egor Ianovski, Aleksei Y Kondratev

Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao

TripleTree: A Versatile Interpretable Representation of Black Box Agents and their
Environments
Tom Bewley, Jonathan Lawry

Spherical Image Generation from a Single Image by Considering Scene Symmetry
Takayuki Hara, Yusuke Mukuta, Tatsuya Harada

Relative Variational Intrinsic Control
Kate A Baumli, David Warde-Farley, Steven Hansen, Vlad Mnih

Hierarchical Graph Capsule Network
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang

Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation
Ignacio Iacobacci, Ieva Staliūnaitė, Philip John Gorinski

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
Qizhou Wang, Bo Han, Chen Gong, Tongliang Liu, Gang Niu, Jian Yang

Multi-Document Transformer for Personality Detection
Feifan Yang, Xiaojun Quan, Yunyi Yang, Jianxing Yu

Learning with Group Noise
Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han

Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-Supervised Edge
Features and Graph Neural Networks
Arijit Sehanobish, Neal G Ravindra, David van Dijk

Incentivizing Truthfulness through Audits in Strategic Classification
Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik

DASZL: Dynamic Action Signatures for Zero-Shot Learning
Tae Soo Kim, Jonathan D Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan
Yuille, Gregory D. Hager

Enhancing Scientific Papers Summarization with Citation Graph
Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

XraySyn: Realistic View Synthesis from a Single Radiograph through CT Prior
Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa

Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su, Stephen Adams, Peter Beling

Multi-Party Campaigning
Martin Koutecky, Nimrod Talmon

Solving Infinite-Domain CSPs Using the Patchwork Property
Konrad K Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

Disjunctive Temporal Problems under Structural Restrictions
Konrad K Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

Advice-Guided Reinforcement Learning in a Non-Markovian Environment
Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu

Adaptive Teaching of Temporal Logic Formulas to Preference-Based Learners
Zhe Xu, Yuxin Chen, Ufuk Topcu

Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning
Painting Agent
Peter Schaldenbrand, Jean Oh

CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction
Matias Mendieta, Hamed Tabkhi

Modeling Voters in Multi-Winner Approval Voting
Jaelle Scheuerman, Jason Harman, Nicholas Mattei, Brent Venable

Metrics and Continuity in Reinforcement Learning
Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

Meta Learning for Causal Direction
Jean-Francois Ton, Dino Sejdinovic, Kenji Fukumizu

The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media
Barrett R Anderson, Adam M Smith

Implicit Kernel Attention
Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon

Unsupervised Active Learning via Subspace Learning
Changsheng Li, KaiHang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang

Fairness-Aware News Recommendation with Decomposed Adversarial Learning
Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie

Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li

Self-Supervised Multi-View Stereo via Effective Co-Segmentation and Data-Augmentation
Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu

Multi-Modal Multi-Label Emotion Recognition with Heterogeneous Hierarchical Message
Passing
Dong Zhang, Xincheng Ju, Wei Zhang, Junhui Li, Shoushan Li, Zhu Qiaoming, Zhou Guodong

NASGEM: Neural Architecture Search via Graph Embedding Method
Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas
Chandra, Hai Li, Yiran Chen

Semantic-Guided Reinforced Region Embedding for Generalized Zero-Shot Learning
Jiannan Ge, Hongtao Xie, Shaobo Min, Yongdong Zhang

SMART Frame Selection for Action Recognition
Shreyank N Gowda, Marcus Rohrbach, Laura Sevilla-Lara

Instance Mining with Class Feature Banks for Weakly Supervised Object Detection
Yufei Yin, Jiajun Deng, Wengang Zhou, Houqiang Li

Ada-Segment: Automated Multi-Loss Adaptation for Panoptic Segmentation

Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

Accelerated Combinatorial Search for Outlier Detection with Provable Bound on SubOptimality
Guihong Wan, Haim Schweitzer

Multi-View Inference for Relation Extraction with Uncertain Knowledge
Bo Li, Wei Ye, Canming Huang, Shikun Zhang

Dual Compositional Learning in Interactive Image Retrieval
Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim

Disentangled Motif-Aware Graph Learning for Phrase Grounding
Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang

SA-BNN: State-Aware Binary Neural Network
Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding

LRSC: Learning Representations for Subspace Clustering
Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang

Towards Universal Physical Attacks on Single Object Tracking
Li Ding, Yongwei Wang, Kaiwen Yuan, Minyang Jiang, Ping Wang, Hua Huang, Z. Jane Wang

Automated Clustering of High-Dimensional Data with a Feature Weighted Mean-Shift
Algorithm
Saptarshi Chakraborty, Debolina Paul, Swagatam Das

Learning Visual Context for Group Activity Recognition
Hangjie Yuan, Dong Ni

What the Role Is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via
Dual Question Answering
Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, JinLong Li

Progressive One-Shot Human Parsing
Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao

Mining EL Bases with Adaptable Role Depth
Ricardo Guimarães, Ana Ozaki, Cosimo Persia, Baris Sertkaya

Parameterized Logical Theories
Fangzhen Lin

Learning Geometry-Disentangled Representation for Complementary Understanding of 3D
Object Point Cloud
Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao

Generalize a Small Pre-Trained Model to Arbitrarily Large TSP Instances
Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha

Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Shixiang Tang, Peng Su, Dapeng Chen, Wanli Ouyang

Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning
Andrea Micheli, Alessandro Valentini

Isolation Graph Kernel
Bi-Cun Xu, Kai Ming Ting, Yuan Jiang

Scaling-Up Robust Gradient Descent Techniques
Matthew J Holland

Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions
Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis

Storage Fit Learning with Feature Evolvable Streams
Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Analysing the Noise Model Error for Realistic Noisy Label Data
Michael A. Hedderich, Dawei Zhu, Dietrich Klakow

Topology Distance: A Topology Based Approach for Evaluating Generative Adversarial
Networks
Danijela Horak, Simiao Yu, Gholamreza Salimi-Khorshidi

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui

Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan

Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks
Yu Chen, Sinno Pan

Addressing Action Oscillations through Learning Policy Inertia
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng

FIMAP: Feature Importance by Minimal Adversarial Perturbation

Matt Chapman-Rounds, Umang Bhatt, Erik Pazos, Marc-Andre Schulz, Konstantinos Georgatzis

Quantification of Resource Production Incompleteness
Yakoub Salhi

Partial-Label and Structure-Constrained Deep Coupled Factorization Network
Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang

Time Series Domain Adaptation via Sparse Associative Structure Alignment
Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang,
Zhenjie Zhang

Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance
Dong Zhang, Suzhong Wei, Shoushan Li, Hanqian Wu, Zhu Qiaoming, Zhou Guodong

Robust Multi-Modality Person Re-Identification
Aihua Zheng, Zihan Chen, Zi Wang, Chenglong Li, Jin Tang

Learning to Truncate Ranked Lists for Information Retrieval
Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng

Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework
Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li

Extracting Zero-Shot Structured Information from Form-like Documents: Pretraining with
Keys and Triggers
Rongyu Cao, Ping Luo

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, Linhao Li

f-Aware Conflict Prioritization & Improved Heuristics for Conflict-Based Search
Eli Boyarski, Ariel Felner, Pierre Le Bodic, Daniel Harabor, Peter Stuckey, Sven Koenig

From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from
Data on Repeated Interactions
Gali Noti

Deep Graph-Neighbor Coherence Preserving Network for Unsupervised Cross-Modal
Hashing
Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
Taoran Ji, Nathan Self, Kaiqun Fu, Zhqian Chen, Naren Ramakrishnan, Chang-Tien Lu

Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural
Networks
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

Improving Gradient Flow with Unrolled Highway Expectation Maximization
Chonghyuk Song, Inwook Shim, Eunseok Kim

How to Save your Annotation Cost for Panoptic Segmentation?
Xuefeng Du, ChenHan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li

Learning Representations for Incomplete Time Series Clustering
Qianli Ma, Chuxin Chen, Sen Li, Garrison Cottrell

Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition
Benjia Zhou, Yunan Li, Jun Wan

Coupon Design in Advertising Systems
Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang

Adversarial Directed Graph Embedding
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He

Margin of Victory in Tournaments: Structural and Experimental Results
Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong

Commission Fee Is Not Enough: A Hierarchical Reinforced Framework for Portfolio
Management
Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S Yu

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Eoin Kenny, Mark Keane

Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang

Recursion in Abstract Argumentation is Hard — On the Complexity of Semantics Based on
Weak Admissibility
Wolfgang Dvorak, Markus Ulbricht, Stefan Woltran

A One-Size-Fits-All Solution to Conservative Bandit Problems
Yihan Du, Siwei Wang, Longbo Huang

The Complexity Landscape of Claim-Augmented Argumentation Frameworks
Wolfgang Dvorak, Alexander Greßler, Anna Rapberger, Stefan Woltran

PGNet: Real-Time Arbitrarily-Shaped Text Spotting with Point Gathering Network
Pengfei Wang, Chengquan Zhang, Fei Qi, Shanshan Liu, Xiaoqiang Zhang, Pengyuan Lyu, Junyu Han,
Jingtuo Liu, Errui Ding, Guangming Shi

Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised
Human Parsing
Yunan Liu, Shanshan Zhang, Jian Yang, PongChi Yuen

ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action
Localization
Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua

Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images
Xiaofei Wang, Mai Xu, Jicong Zhang, Lai Jiang, Liu Li

Policy-Guided Heuristic Search with Guarantees
Laurent Orseau, Levi H. S. Lelis

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-Modal Solution
Characterization for Computational Imaging
He Sun, Katherine Bouman

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto

Scarce Societal Resource Allocation and the Price of (Local) Justice
Quan M Nguyen, Sanmay Das, Roman Garnett

Modeling Deep Learning Based Privacy Attacks on Physical Mail
Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling

Vector Quantized Bayesian Neural Network Inference for Data Streams
Namuk Park, Taekyu Lee, Songkuk Kim

Present-Biased Optimization
Fedor Fomin, Pierre Fraigniaud, Petr Golovach

Fractal Autoencoders for Feature Selection
Xinxing Wu, Qiang Cheng

Learned Bi-Resolution Image Coding Using Generalized Octave Convolutions
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

Semi-Supervised Sequence Classification through Change Point Detection
Nauman Ahad, Mark Davenport

On Continuous Local BDD-Based Search for Hybrid SAT Solving
Anastasios Kyrillidis, Moshe Vardi, Zhiwei Zhang

Multi-Proxy Wasserstein Classifier for Image Classification
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh

Lipschitz Lifelong Reinforcement Learning
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L.
Littman

Decentralized Multi-Agent Linear Bandits with Safety Constraints
Sanae Amani, Christos Thrampoulidis

Near-Optimal MNL Bandits Under Risk Criteria
Guangyu Xi, Chao Tao, Yuan Zhou

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation
Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation
Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen

Weakly Supervised Temporal Action Localization through Learning Explicit Subspaces for
Action and Context
Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua

Aggregating Binary Judgments Ranked by Accuracy
Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D Procaccia, Nisarg Shah, Piotr Skowron

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

Exact Reduction of Huge Action Spaces in General Reinforcement Learning
Sultan Javed Majeed, Marcus Hutter

Exploring Auxiliary Reasoning Tasks for Task-Oriented Dialog Systems with Meta Cooperative
Learning
Bowen Qin, Min Yang, Bing Lidong, Qingshan Jiang, Chengming Li, Ruifeng Xu

Hierarchical Macro Discourse Parsing Based on Topic Segmentation
Feng Jiang, Yaxin Fan, Xiaomin Chu, Li Peifeng, Zhu Qiaoming, Fang Kong

Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination
Zhijie Zhang, Yan Liu, Junjie Chen, Li Niu, Liqing Zhang

Uncertain Graph Neural Networks for Facial Action Unit Detection
Tengfei Song, Lisha Chen, Wenming Zheng, Qiang Ji

Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning
Zhenwen Ren, Quansen Sun, Dong Wei

Less Than One’-Shot Learning: Learning N Classes from M < N Samples
Ilia Sucholutsky, Matthias Schonlau

Taxonomy Completion via Triplet Matching Network
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li

Proxy Graph Matching with Proximal Matching Networks
Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu

Self-Paced Two-Dimensional PCA
Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen

Group Testing on a Network
Arlei Lopes da Silva, Ambuj Singh

Tri-Level Robust Clustering Ensemble with Multiple Graph Learning
Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li

Expected Value of Communication for Planning in Ad Hoc Teamwork
William Macke, Reuth Mirsky, Peter Stone

Bridging Towers of Multi-Task Learning with a Gating Mechanism for Aspect-Based
Sentiment Analysis and Sequential Metaphor Identification
Rui Mao, Xiao Li

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zheng-Jun Zha

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior
Recommendation
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo

Graph Game Embedding
Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang

Learning Omni-Frequency Region-Adaptive Representations for Real Image Super-Resolution
Xin Li, Xin Jin, Tao Yu, Simeng Sun, Yingxue Pang, Zhizheng Zhang, Zhibo Chen

On Convergence of Gradient Expected Sarsa (lambda)
Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan

Visual Tracking via Hierarchical Deep Reinforcement Learning
Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li

Recognizing and Verifying Mathematical Equations Using Multiplicative Differential Neural
Units
Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles

Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling
Perspective
Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun

EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
Qi Zhou, Haipeng Chen, Zheng Yitao, Zhen Wang

AugSplicing: Synchronized Behavior Detection in Streaming Tensors
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi
Cheng

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior
Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao

SCNet: Training Inference Sample Consistency for Instance Segmentation
Thang Van Vu, Haeyong Kang, Chang D. Yoo

Re-TACRED: Addressing Shortcomings of the TACRED Dataset
George I Stoica, Emmanouil Antonios Platanios, Barnabas Poczos

ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner,
Ruby Lee, Jindong Chen

Joint Color-Irrelevant Consistency Learning and Identity-Aware Modality Adaptation for
Visible-Infrared Cross Modality Person Re-Identification
Zhiwei Zhao, Bin Liu, Qi Chu, Yan Lu, Nenghai Yu

Cold-Start Sequential Recommendation via Meta Learner
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

往期回顾

重磅！「自然语言处理（NLP）」全球学术界”巨佬“信息大盘点（一）！
重磅！「自然语言处理（NLP）」全球学术界”巨佬“信息大盘点（二）！
重磅！「自然语言处理（NLP）」全球学术界”巨佬“信息大盘点（三）！
【AAAI 2020】全部接受论文列表（一）
【AAAI 2020】全部接受论文列表（二）
【AAAI 2020】全部接受论文列表（三）
【AAAI 2020】全部接受论文列表（四）
【AAAI 2020】全部接受论文列表（五）
【AAAI 2020】全部接受论文列表（六）