【AAAI 2021】全部接受论文列表（三）_does head label help for long-tailed multi-label t

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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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Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural
Language Generation
Wei Cheng, Ziyan Luo, Qiyue Yin

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma

Learning Local Neighboring Structure for Robust 3D Shape Representation
Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang

Deep Partial Rank Aggregation for Personalized Attributes
Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming
Huang

SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H Li

A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps
with Perturbation
Qinglong Zhang, Lu Rao, Yubin Yang

Scene Graph Embeddings Using Relative Similarity Supervision
Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay

Deterministic Mini-Batch Sequencing for Training Deep Neural Networks
Subhankar Banerjee, Shayok Chakraborty

A Complexity-Theoretic Analysis of Green Pickup-and-Delivery Problems
Xing Tan, Jimmy Huang

Temporal Segmentation of Fine-Gained Semantic Action: A Motion-Centered Figure Skating
Dataset
Shenglan Liu, Aibin Zhang, Yunheng Li, Jian Zhou, Li Xu, Zhuben Dong, Renhao Zhang

Stratified Negation in Datalog with Metric Temporal Operators
David J Tena Cucala, Przemysław A Wałęga, Bernardo Cuenca Grau, Egor Kostylev

Learning the Parameters of Bayesian Networks from Uncertain Data
Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A Feldman

Dense Events Grounding in Video
Peijun Bao, Qian Zheng, Yadong Mu

Continuous Self-Attention Models with Neural ODE Networks
Jing Zhang, Peng Zhang, Baiwen Kong, Junqiu Wei, Xin Jiang

On-the-Fly Synthesis for LTL over Finite Traces
Shengping Xiao, Jianwen Li, Shufang Zhu, Yingying Shi, Geguang Pu, Moshe Vardi

Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical
Expression Recognition
Jin-Wen Wu, Fei Yin, Yanming Zhang, Xu-Yao Zhang, Cheng-Lin Liu

Peer Collaborative Learning for Online Knowledge Distillation
Guile Wu, Shaogang Gong

A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method
Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian

DeepCollaboration: Collaborative Generative and Discriminative Models for Class
Incremental Learning
Bo Cui, Guyue Hu, Shan Yu

GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng

Argument Mining Driven Analysis of Peer-Reviews
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang,
Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl

Adversarial Training with Fast Gradient Projection Method against Synonym Substitution
Based Text Attacks
Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He

Newton Optimization on Helmholtz Decomposition for Continuous Games
Giorgia Ramponi, Marcello Restelli

United for Change: Deliberative Coalition Formation to Change the Status Quo
Edith Elkind, Grossi Davide, Ehud Shapiro, Nimrod Talmon

Voxel R-CNN: Towards High Performance Voxel-Based 3D Object Detection
Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li

Optical Flow Estimation from a Single Motion-Blurred Image
Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Jae Won Cho, In So Kweon

Motion-Blurred Video Interpolation and Extrapolation
Dawit Mureja Argaw, Junsik Kim, Francois Rameau, In So Kweon

Co-Mining: Self-Supervised Learning for Sparsely Annotated Object Detection

Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang

Uncertainty-Aware Multi-View Representation Learning
Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu

Temporal ROI Align for Video Object Recognition
Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng

Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L Zhang

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational
Reasoning
Chunpu Xu, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu, Min Yang

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender
Models
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang

Cross-Layer Distillation with Semantic Calibration
Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen

Hierarchical Graph Convolution Network for Traffic Forecasting
Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
Haiyan Yin, Jianda Chen, Sinno Pan, Sebastian Tschiatschek

Distant Transfer Learning via Deep Random Walk
Qiao Xiao, Yu Zhang

Adaptive Algorithms for Multi-Armed Bandit with Composite and Anonymous Feedback
Siwei Wang, Haoyun Wang, Longbo Huang

Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang

A Hybrid Bandit Framework for Diversified Recommendation
Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang

One-Shot Graph Neural Architecture Search with Dynamic Search Space
Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu

Deep Mutual Information Maximin for Cross-Modal Clustering
Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye

Composite Adversarial Attacks
Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue

VMLoc: Variational Fusion for Learning-Based Multimodal Camera Localization
Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi U. Saputra, Niki Trigoni, Andrew
Markham

Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for OneStep Person Search
Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang

Equivalent Causal Models
Sander Beckers

RTS3D: Real-Time Stereo 3D Detection From 4D Feature-Consistency Embedding Space for
Autonomous Driving
Peixuan Li, Shun Su, Huaici Zhao

The Counterfactual NESS Definition of Causation
Sander Beckers

Looking Wider for Better Adaptive Representation in Few-Shot Learning
Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He

DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
Hao-Shu Fang, Yichen Xie, Dian Shao, Cewu Lu

Fooling Thermal Infrared Pedestrian Detector in Real World Using Small Bulbs
Xiaopei Zhu, Xiao Li, Jianmin Li, Xiaolin Hu, Zheyao Wang

Learning from the Best: Rationalizing Predictions by Adversarial information Calibration
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz

Dynamic Position-Aware Network for Fine-Grained Image Recognition
Shijie Wang, Haojie Li, Zhihui Wang, Wanli Ouyang

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong

Multi-Type Disentanglement without Adversarial Training
Lei Sha, Thomas Lukasiewicz

Budget Feasible Mechanisms over Graphs
Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang

STL-SGD: Speeding Up Local SGD with Stagewise Communication Period
Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu

Ethically Compliant Sequential Decision Making
Justin Svegliato, Samer Nashed, Shlomo Zilberstein

Amnesiac Machine Learning
Laura Graves, Vineel Nagisetty, Vijay Ganesh

Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction
Jinjia Huang, Mabel C. Chou, Chung Piaw Teo

Inference Fusion with Associative Semantics for Unseen Object Detection
Yanan Li, Pengyang Li, Han Cui, Donghui Wang

SSPC-Net: Semi-Supervised Semantic 3D Point Cloud Segmentation Network
Mingmei Cheng, Le Hui, Jin Xie, Jian Yang

Stabilizing Q Learning via Soft Mellowmax Operator
Yaozhong Gan, Zhe Zhang, Xiaoyang Tan

Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed by
Second-Order Traffic Models
Rongye Shi, Zhaobin Mo, Xuan Di

Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures
Xinglu Wang, Yingming Li

Image Captioning with Context-Aware Auxiliary Guidance
Zeliang Song, Xiaofei Zhou, Zhendong Mao, Jianlong Tan

PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee

GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for
Traffic Accident Risk Forecasting
Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan

Activity Image-to-Video Retrieval by Disentangling Appearance and Motion
Liu Liu, Jiangtong Li, Li Niu, Ruicong Xu, Liqing Zhang

Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive
Segmentation
Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu

On the Convergence of Communication-Efficient Local SGD for Federated Learning
Hongchang Gao, An Xu, Heng Huang

Universal Trading for Order Execution with Oracle Policy Distillation
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu

A Generative Adversarial Framework for Bounding Confounded Causal Effects
Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu

Binaural Audio-Visual Localization
Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang

Point Cloud Semantic Scene Completion from RGB-D Images
Shoulong Zhang, Shuai Li, Aimin Hao, Hong Qin

Competitive Analysis for Two-Level Ski-Rental Problem
Binghan Wu, Wei Bao, Dong Yuan

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and
Semantic Augmentation
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, Gary Chan, Zhenguo Li

Improving Fairness and Privacy in Selection Problems
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi

An Efficient Transformer Decoder with Compressed Sub-Layers
Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu

Learning Task-Distribution Reward Shaping with Meta-Learning
Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

Consensus Graph Representation Learning for Better Grounded Image Captioning
Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang

Amata: An Annealing Mechanism for Adversarial Training Acceleration
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu

PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
Yanan Zhang, Di Huang, Yunhong Wang

A Theoretical Analysis of the Repetition Problem in Text Generation

Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi

Hierarchical Coherence Modeling for Document Quality Assessment
Dongliang Liao, Jin Xu, Gongfu Li, Yiru Wang

Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the
Motion
Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun

Preserving Condorcet Winners under Strategic Manipulation
Sirin Botan, Ulle Endriss

Multinomial Logit Contextual Bandits: Provable Optimality and Practicality
Min-hwan Oh, Garud Iyengar

Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D
Images
Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro

Safe Search for Stackelberg Equilibria in Extensive-Form Games
Chun Kai Ling, Noam Brown

Dual Distribution Alignment Network for Generalizable Person Re-Identification
Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji

Uncovering Latent Biases in Text: Method and Application to Peer Review
Emaad Manzoor, Nihar Shah

Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR
Contents
Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro

MIMOSA: Multi-Constraint Molecule Sampling for Molecule Optimization
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas Glass, Jimeng Sun

What’s the Best Place for an AI Conference, Vancouver or _______: Why Completing
Comparative Questions Is Difficult
Avishai Zagoury, Einat Minkov, Idan Szpektor, William W Cohen

Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi

Interpretable NLG for Task-Oriented Dialogue Systems with Heterogeneous Rendering
Machines
Yangming Li, Kaisheng Yao

Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with
Stochastic Pairwise Constraints
Brian Brubach, Darshan Chakrabarti, John P Dickerson, Aravind Srinivasan, Leonidas Tsepenekas

Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using
Augmented Genotype-Phenotype Representations
Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie

Temporal Latent Autoencoder: A Method for Probabilistic Multivariate Time Series
Forecasting
Nam Nguyen, Brian Quanz

STELAR: Spatio-Temporal Tensor Factorization with Latent Epidemiological Regularization
Nikos Kargas, Cheng Qian, Nicholas Sidiropoulos, Cao Xiao, Lucas Glass, Jimeng Sun

MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
Maksim Kuznetsov, Daniil Polykovskiy

The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and
Decomposable Boolean Circuits
Marcelo Arenas, Pablo Barceló, Leopoldo Bertossi, Mikaël Monet

Constructing a Fair Classifier with Generated Fair Data
Taeuk Jang, Feng Zheng, Xiaoqian Wang

Hypothesis Disparity Regularized Mutual information Maximization
Qicheng Lao, Xiang Jiang, Mohammad Havaei

Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games
Brian H Zhang, Tuomas Sandholm

Scheduling of Time-Varying Workloads Using Reinforcement Learning
Shanka Subhra Mondal, Nikhil Sheoran, Subrata Mitra

Self-Correcting Q-Learning
Rong Zhu, Mattia Rigotti

Open-Set Recognition with Gaussian Mixture Variational Autoencoders
Alexander Cao, Yuan Luo, Diego Klabjan

A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning
Setting
Kun Qian, Wei Wei, Zhou Yu

Sample-Specific Output Constraints for Neural Networks
Mathis Brosowsky, Florian Keck, Olaf Dünkel, Marius Zöllner

Preference Elicitation as Average-Case Sorting
Dominik Peters, Ariel D Procaccia

Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
Nishtha Madan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha

Optimal Kidney Exchange with Immunosuppressants
Haris Aziz, Agnes Cseh, John P Dickerson, Duncan C McElfresh

Online Learning in Variable Feature Spaces under Incomplete Supervision
Yi He, Xu Yuan, Sheng Chen, Xindong Wu

ChronoR: Rotation Based Temporal Knowledge Graph Embedding
Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang

Diverse Knowledge Distillation for End-to-End Person Search
Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce Ho, Haesun Park, Jimeng Sun

Continuous-Time Attention for Sequential Learning
Yi-Hsiang Chen, Jen-Tzung Chien

Accurate and Robust Feature Importance Estimation under Distribution Shifts
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas
Spanias

Deep Fusion Clustering Network
Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person ReIdentification
Xiaoke Jiang, Yu Qiao, Junjie Yan, Qichen Li, Wanrong Zheng, Dapeng Chen

Deep Portfolio Optimization via Distributional Prediction of Residual Factors
Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa

Conceptualized and Contextualized Gaussian Embedding
Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua

Regularizing Attention Networks for Anomaly Detection in Visual Question Answering

Doyup Lee, Yeongjae Cheon, Wook-Shin Han

Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded
Disturbances
Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C Williams

Adversarial Robustness through Disentangled Representations
Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active
Queries
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

Query-Memory Re-Aggregation for Weakly-Supervised Video Object Segmentation
Fanchao Lin, Hongtao Xie, Yan Li, Yongdong Zhang

Heterogeneous Graph Structure Learning for Graph Neural Networks
Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye

Generative Partial Visual-Tactile Fused Object Clustering
Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding

Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate
Scaling
Zhouyuan Huo, Bin Gu, Heng Huang

Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation
and Approximation Algorithm via Min-Cost Flow Optimization
Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Multi-View information-Bottleneck Representation Learning
Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu

A Trace-Restricted Kronecker-Factored Approximation to Natural Gradient
Kaixin Gao, Xiaolei Liu, Zhenghai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu

Writing Polishment with Simile: Task, Dataset and a Neural Approach
Jiayi Zhang, Zhi Cui, Xiaoqiang Xia, Yalong Guo, Yanran Li, Chen Wei, Jianwei Cui

Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
Xingwei He, Victor O.K. Li

District-Fair Participatory Budgeting
D Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D Procaccia

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal
Network Modeling
Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang

Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance
Guanhua Chen, Yun Chen, Victor O.K. Li

Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong

Appearance-Motion Memory Consistency Network for Video Anomaly Detection
Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao

Training Spiking Neural Networks with Accumulated Spiking Flow
Hao Wu, Yueyi Zhang, Wenming Weng, Yongting Zhang, Zhiwei Xiong, Zheng-Jun Zha, Xiaoyan Sun,
Feng Wu

Multi-Task Recurrent Modular Networks
Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao
Zhang, Haifeng Chen, Xiang Zhang

Relation-Aware Neighborhood Matching Model for Entity Alignment
Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du

Finding Sparse Structure for Domain Specific Neural Machine Translation
Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li

Distilling Localization for Self-Supervised Representation Learning
Nanxuan Zhao, Zhirong Wu, Rynson W.H. Lau, Stephen Lin

Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition
Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang

One for More: Selecting Generalizable Samples for Generalizable ReID Model
Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, WeiShi Zheng, Xing Sun

Deep Semantic Dictionary Learning for Multi-Label Image Classification
Fengtao Zhou, Sheng Huang, Yun Xing

Meta-Learning Effective Exploration Strategies for Contextual Bandits
Amr Sharaf, Hal Daume

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Peng-Shuai Wang, Yuqi Yang, Qianfang Zou, Zhirong Wu, Yang Liu, Xin Tong

Provable Benefits of Overparameterization in Model Compression: From Double Descent to
Pruning Neural Networks
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis

Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection
Xudong Yan, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Pheng-Ann Heng

Diagnose Like a Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level
Immunohistochemical Scoring
Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan

Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
Jake Tuero, Michael Buro

PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge
Graph Embedding
Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo

Disentangled Representation Learning in Heterogeneous Information Network for LargeScale Android Malware Detection in the COVID-19 Era and Beyond
Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong,
Fudong Shao

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme
Multi-Label Text Classification
Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang

MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
Zhen Xu, David So, Andrew M Dai

VisualMRC: Machine Reading Comprehension on Document Images
Ryota Tanaka, Kyosuke Nishida, Sen Yoshida

HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled
Styles
Ji Gan, Weiqiang Wang

Latent Independent Excitation for Generalizable Sensor-Based Cross-Person Activity
Recognition
Hangwei Qian, Sinno Pan, Chunyan Miao

Algebra of Modular Systems: Containment and Equivalence
Andrei Bulatov, Eugenia Ternovska

Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with
Adversarial Style Combination for Speech Synthesis
Sang-Hoon Lee, Hyun-Wook Yoon, Hyeong-Rae Noh, Ji-Hoon Kim, Seong-Whan Lee

Rethinking Object Detection in Retail Stores
Cai YuanQiang, Longyin Wen, Libo Zhang, Dawei Du, Weiqiang Wang

KG-BART: Knowledge Graph-Augmented Bart for Generative Commonsense Reasoning
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S Yu

EMLight: Lighting Estimation via Spherical Distribution Approximation
Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie

Sequential End-to-End Network for Efficient Person Search
Zhengjia Li, Duoqian Miao

Gene Regulatory Network Inference Using 3D Convolutional Neural Network
Yue Fan, Xiuli Ma

A General Class of Transfer Learning Regression without Implementation Cost
Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida

SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei

Does Head Label Help for Long-Tailed Multi-Label Text Classification
Lin Xiao, Xiangliang Zhang, Chi Huang, Mingyang Song, Liping Jing

Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji

Label Confusion Learning to Enhance Text Classification Models
Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu

CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label
Generating
Ximing Yang, Yuan Wu, Kaiyi Zhang, Cheng Jin

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang

Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing
Comparative Gradients and Hostile Activations
Woo Jeoung Nam, Jaesik Choi, Seong-Whan Lee

Efficient Folded Attention for Medical Image Reconstruction and Segmentation
Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen,
Yi Wang

Uncertainty-Matching Graph Neural Networks to Defend against Poisoning Attacks
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender
Systems
Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang , Hui
Liu

Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui

Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation
Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, Tyng-Luh Liu

Learning Disentangled Representation for Fair Facial Attribute Classification via FairnessAware information Alignment
Sungho Park, Sunhee Hwang, Dohyung Kim, Hyeran Byun

AI-Assisted Scientific Data Collection with Iterative Human Feedback
Travis Mandel, James Boyd, Sebastian J Carter, Randall H Tanaka, Taishi Nammoto

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He

Simultaneous 2nd Price Item Auctions with No-Underbidding
Michal Feldman, Galia Shabtai

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
Beomyoung Kim, Sangeun Han, Junmo Kim

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao

TRQ: Ternary Neural Networks with Residual Quantization
Yue Li, Wenrui Ding, Chunlei Liu, Baochang Zhang, Guodong Guo

TextGAIL: Generative Adversarial Imitation Learning for Text Generation

Qingyang Wu, Lei Li, Zhou Yu

Alternative Baselines for Low-Shot 3D Medical Image Segmentation—An Atlas Perspective
Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

Fast Multi-View Discrete Clustering with Anchor Graphs
Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie

Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework
Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun

Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions
Siyu Ren, Kenny Zhu

Future-Guided Incremental Transformer for Simultaneous Translation
Shaolei Zhang, Yang Feng, Liangyou Li

REFINE: Prediction Fusion Network for Panoptic Segmentation
Jiawei Ren, Cunjun Yu, Zhongang Cai, Mingyuan Zhang, Chongsong Chen, Haiyu Zhao, Shuai Yi,
Hongsheng Li

Simple and Effective Stochastic Neural Networks
Tianyuan Yu, Yongxin Yang, Da Li, Timothy Hospedales, Tao Xiang

Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Lingyun Feng, Minghui Qiu, Yaliang Li, Ying Shen, Hai-Tao Zheng

DeepwriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
Ruben Tolosana, Paula Delgado-Santos, Andres Perez-Uribe, Ruben Vera-Rodriguez, Julian Fierrez,
Aythami Morales

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search
Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

Unsupervised Model Adaptation for Continual Semantic Segmentation
Serban Stan, Mohammad Rostami

Supervised Training of Dense Object Nets Using Optimal Descriptors for Industrial Robotic
Applications
Andras Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp
Schillinger, Mathias Buerger

Reaching Individually Stable Coalition Structures in Hedonic Games
Felix Brandt, Martin Bullinger, Anaëlle Wilczynski

Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and
Relation Extraction
Kai Sun, Richong Zhang, Samuel A. Mensah, Yongyi Mao, Xudong Liu

On the Complexity of Sum-of-Products Problems over Semirings
Thomas Eiter, Rafael Kiesel

Unsupervised Domain Adaptation for Person Re-Identification via Heterogeneous Graph
Alignment
Minying Zhang, Kai Liu, Yidong Li, Shihui Guo, Hongtao Duan, Yimin Long, Yi Jin

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs
Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection
Mengyin Liu, Chao Zhu, Jun Wang, Xu-Cheng Yin

Persuading Voters in District-Based Elections
Matteo Castiglioni, Nicola Gatti

An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level
Structural information
Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang

A Multi-Step-Ahead Markov Conditional Forward Model with Cube Perturbations for
Extreme Weather Forecasting
Chia-Yuan Chang, Cheng-Wei Lu, Chuan-Ju Wang

Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph AutoEncoder
Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpei Dai, Jing Yu, Jian Sun, Fei Huang, Luo Si

Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings
Petr Kučera, Petr Savický

Deep Spiking Neural Network with Neural Oscillation and Spike-Phase information
Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang

A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion
Danh Le Phuoc, Thomas Eiter, Tuan Anh Le

Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
David Milec, Jakub Cerny, Viliam Lisy, Bo An

Gated Linear Networks

Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka
Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter

MASKER: Masked Keyword Regularization for Reliable Text Classification
Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin

A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, Yueting Zhuang

Riemannian Embedding Banks for Common Spatial Patterns with EEG-Based SPD Neural
Networks
Yoon-Je Suh, Byung Hyung Kim

Evolutionary Approach for Autoaugment Using the Thermodynamical Genetic Algorithm
Akira Terauchi, Naoki Mori

High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition
Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau San Wong

Cost-Aware Graph Generation: A Deep Bayesian Optimization Approach
Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu

FLAME: Differentially Private Federated Learning in the Shuffle Model
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa

Locate Globally, Segment Locally: A Progressive Architecture with Knowledge Review
Network for Salient Object Detection
Binwei Xu, Haoran Liang, Ronghua Liang, Peng Chen

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu, Xuekai Li, Yuan-Fang Li , Reza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu

Write-a-Speaker: Text-Based Emotional and Rhythmic Talking-Head Generation
Lincheng Li, Suzhen Wang, Zhimeng Zhang, Yu Ding, Yixing Zheng, Xin Yu, Changjie Fan

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park

An LP-Based Approach for Goal Recognition as Planning
Luísa R. A. Santos, Felipe Meneguzzi, Ramon Fraga Pereira, André Grahl Pereira

Double Oracle Algorithm for Computing Equilibria in Continuous Games
Lukáš Adam, Rostislav Horčík, Tomáš Kasl, Tomáš Kroupa

Static-Dynamic interaction Networks for Offline Signature Verification

Huan Li, Ping Wei, Ping Hu

Progression Heuristics for Planning with Probabilistic LTL Constraints
Ian Mallett, Sylvie Thiebaux, Felipe Trevizan

Multi-View Representation Learning with Manifold Smoothness
Shu Li, Wei Wang, Wen-Tao Li, Pan Chen

Equitable Scheduling on a Single Machine
Klaus Heeger, Dan Hermelin, George Mertzios, Hendrik Molter, Rolf Niedermeier, Dvir Shabtay

The Complexity of Object Association in Multiple Object Tracking
Robert Ganian, Thekla Hamm, Sebastian Ordyniak

Deep Style Transfer for Line Drawings
Xueting Liu, Wenliang Wu, Huisi Wu, Zhenkun Wen

KAN: Knowledge-Aware Attention Network for Fake News Detection
Yaqian Dun, Kefei Tu, Chen Chen, Chunyan Hou, Xiaojie Yuan

Deep Radial-Basis Value Functions for Continuous Control
Kavosh Asadi, Neev Parikh, Ron Parr, George Konidaris, Michael L. Littman

Communicative Message Passing for Inductive Relation Reasoning
Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu

TSQA: Tabular Scenario Based Question Answering
Xiao Li, Yawei Sun, Gong Cheng

Deep Just-in-Time Inconsistency Detection between Comments and Source Code
Sheena L Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond Mooney

Transfer Graph Neural Networks for Pandemic Forecasting
Georgios Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word
Problem
Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large
Conferences
Ivan Stelmakh, Nihar Shah, Aarti Singh, Hal Daume

Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou, Chengtai Cao

Signaling in Bayesian Network Congestion Games: The Subtle Power of Symmetry
Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti

Optimal Decision Trees for Nonlinear Metrics
Emir Demirović, Peter Stuckey

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang

Semantic Consistency Networks for 3D Object Detection
Wenwen Wei, Ping Wei, Nanning Zheng

Personalized Adaptive Meta Learning for Cold-Start User Preference Prediction
Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An

Towards Enabling Learnware to Handle Unseen Jobs
Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Region-Aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound
Images
Huisi Wu, Jiasheng Liu, Wei Wang, Zhenkun Wen, Jing Qin

Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor
Completion
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang

Catch Me If I Can: Detecting Strategic Behaviour in Peer Assessment
Ivan Stelmakh, Nihar Shah, Aarti Singh

Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks
Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun

Bayesian Optimized Monte Carlo Planning
John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel Kochenderfer

Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-Time Polyp
Segmentation from Colonoscopy Videos
Huisi Wu, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin

Deep Low-Contrast Image Enhancement Using Structure Tensor Representation
Hyungjoo Jung, Hyunsung Jang, Namkoo Ha, Kwanghoon Sohn

Towards Effective Context for Meta-Reinforcement Learning: An Approach Based on
Contrastive Learning

Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

How Do We Move: Modeling Human Movement with System Dynamics
Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui (Jessie) Li

Improved POMDP Tree Search Planning with Prioritized Action Branching
John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel Kochenderfer

Parameterized Algorithms for MILPS with Small Treedepth
Cornelius Brand, Martin Koutecky, Sebastian Ordyniak

Joint Semantic-Geometric Learning for Polygonal Building Segmentation
Weijia Li, Wenqian Zhao, Huaping Zhong, Conghui He, Dahua Lin

The Parameterized Complexity of Clustering Incomplete Data
Eduard Eiben, Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider

Document-Level Relation Extraction with Reconstruction
Wang Xu, Kehai Chen, Tiejun Zhao

Simple is Not Easy: A Simple Strong Baseline for TextVQA and TextCaps
Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu

Symbolic Search for Oversubscription Planning
David Speck, Michael Katz

Automated Model Design and Benchmarking of Deep Learning Models for COVID-
Detection with Chest CT Scans
Xin He, Shihao Wang, Shaohuai Shi, Xiaowen Chu, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong
Zhang, Guiguang Ding

Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition
Structure Generation and Assignment
Fredrik Präntare, Fredrik Heintz, Herman Appelgren

Understanding Catastrophic Overfitting in Single-Step Adversarial Training
Hoki Kim, Woojin Lee, Jaewook Lee

Trembling-Hand Perfection and Correlation in Sequential Games
Alberto Marchesi, Nicola Gatti

Toward Robust Long Range Policy Transfer
Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng, Min Sun

High Dimensional Level Set Estimation with Bayesian Neural Network
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
​

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）