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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*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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Learning from History: Modeling Temporal Knowledge Graphs with Sequential CopyGeneration Networks
Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang
Multi-Scale Graph Fusion for Co-Saliency Detection
Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu
PointINet: Point Cloud Frame Interpolation Network
Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, Alois Knoll
Community-Aware Multi-Task Transportation Demand Prediction
Hao Liu, Qiyu Wu, Fuzhen Zhuang, * Lu, Dejing Dou, Hui Xiong
More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation
Mauajama Firdaus, Hardik Chauhan, Asif Ekbal, Pushpak Bhattacharyya
Computing Plan-Length Bounds Using Lengths of Longest Paths
Mohammad Abdulaziz, Dominik Berger
Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints
Anh V Do, Frank Neumann
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio
Management with Market Conditions Embedding
Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu
Going Deeper with Directly-Trained Larger Spiking Neural Networks
Hanle Zheng, Guoqi Li, Yujie Wu, Lei Deng, Yifan Hu
Differentiable Inductive Logic Programming for Structured Examples
Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto
Memory-Gated Recurrent Networks
Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang
Contrastive Self-Supervised Learning for Graph Classification
Jiaqi Zeng, Pengtao Xie
Reinforcement Learning with a Disentangled Universal Value Function for Item
Recommendation
Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs
Stephan Gocht, Jakob Nordström
Nyströmformer: A Nyströmform-Based Algorithm for Approximating Self-Attention
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn M Fung, Yin Li, Vikas
Singh
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives
Benjamin Doerr, Weijie Zheng
IQ – Incremental Learning for Solving QSAT
Thomas L Lee, Viktor Tóth, Sean B Holden
SDGNN: Learning Node Representation for Signed Directed Networks
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs
Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi Behnagh
Contract Scheduling with Predictions
Spyros Angelopoulos, Shahin Kamali
Filling the Gap of Utterance-Aware and Speaker-Aware Representation for Multi-Turn
Dialogue
Longxiang Liu, Zhuosheng Zhang, Hai Zhao, Xi Zhou, Xiang Zhou
Semantic Grouping Network for Video Captioning
Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
Learning Complex 3D Human Self-Contact
Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, Cristian Sminchisescu
Adversarial Training Reduces Information and Improves Transferability
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical
Guarantee
Chao Feng, Chao Qian
Adversarial Defense by Diversified Simultaneous Training of Deep Ensembles
Bo Huang, Zhiwei Ke, Yi Wang, Wei Wang, Linlin Shen, Feng Liu
Savable but Lost Lives when ICU Is Overloaded: A Model from 733 Patients in Epicenter
Wuhan, China
Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu,
Hongmin Cai, Hanchun Wen
Fused Sequential and Hierarchical Representation Model for Aspect Term Extraction
Lili Shang, Meiyun Zuo
Distribution Adaptive INT8 Quantization for Training CNNs
Kang Zhao, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu
Online Search with Maximum Clearance
Spyros Angelopoulos, Malachi L Voss
Almost Envy-Freeness, Envy-Rank, and Nash Social Welfare Matchings
Alireza Farhadi, MohammadTaghi Hajiaghai, Mohamad Latifian, Masoud Seddighin, Hadi Yami
User Driven Model Adjustment via Boolean Rule Explanations
Elizabeth Daly, Massimiliano Mattetti, Oznur Alkan, Rahul Nair
Consistent-Separable Feature Representation for Semantic Segmentation
Xingjian He, Jing Liu, Jun Fu, Xinxin Zhu, Jinqiao Wang, Hanqing Lu
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
Minsu Kim, Sunghun Joung, Seungryong Kim, JungIn Park, Ig-Jae Kim, Kwanghoon Sohn
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning
with Interpretability
Tao Han, Wei-Wei Tu, Yu-Feng Li
A Graph-Based Relevance Matching Model for Ad-Hoc Retrieval
Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang
Self-Domain Adaptation for Face Anti-Spoofing
Jing jing Wang, Jingyi Zhang, Bian Ying, Youyi Cai, Chunmao Wang, Shiliang Pu
Adaptive Gradient Methods for Constrained Convex Optimization and Variational
Inequalities
Alina Ene, Huy Nguyen, Adrian Vladu
SAT-Based Decision Tree Learning for Large Data Sets
Andre Schidler, Stefan Szeider
Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency
Trees
Qingbao Huang, Linzhang Mo, Pijian Li, Yi Cai, Qingguang Liu, Jielong Wei, Qing Li, Ho-fung Leung
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with
Less Uncertainty
Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Ulfar Erlingsson
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer
Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas
Jing Yuan, Renbin Gong, Enhong Chen
Accelerating Neural Machine Translation with Partial Word Embedding Compression
Fan Zhang, Mei Tu, Jinyao Yan
Symmetry Breaking for k-Robust Multi-Agent Path Finding
Zhe Chen, Daniel Harabor, Jiaoyang Li, Peter Stuckey
Frequency Consistent Adaptation for Real World Super Resolution
Xiaozhong Ji, Guangpin Tao, Yun Cao, Ying Tai, Tong Lu, Chengjie Wang, Jilin Li, Feiyue Huang
Improving the Efficiency and Effectiveness for Bert-Based Entity Resolution
Bing Li, Yukai Miao, Yaoshu Wang, Yifang Sun, Wei Wang
Automatic Curriculum Learning with Over-Repetition Penalty for Dialogue Policy Learning
Yangyang Zhao, Zhenyu Wang, Zhenhua Huang
Relational Boosted Bandits
Ashutosh Dilipbhai Kakadiya, Sriraam Natarajan, Balaraman Ravindran
A Systematic Evaluation of Object Detection Networks for Scientific Plots
Pritha Ganguly, Nitesh S Methani, Mitesh M. Khapra, Pratyush Kumar
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming
Valentin Lovene, Gaston E Zanitti, Demian Wassermann
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee, Byoung-Tak
Zhang
A Unified Multi-Scenario Attacking Network for Visual Object Tracking
Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi
Selfish Creation of Social Networks
Davide Bilò, Tobias Friedrich, Pascal Lenzner, Stefanie Lowski, Anna Melnichenko
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang
PoA of Simple Auctions with Interdependent Values
Alon Eden, Michal Feldman, Inbal Talgam-Cohen, Ori Zviran
Learning Prediction Intervals for Model Performance
Benjamin Elder, Matthew Arnold, Anupama Murthi, Jiri Navratil
A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem
Matthias Bentert, Robert Bredereck, Péter Györgyi, Andrzej Kaczmarczyk, Rolf Niedermeier
Generative Semi-Supervised Learning for Multivariate Time Series Imputation
Xiaoye Miao, Yangyang Wu, Jun Wang, Yunjun Gao, Xudong Mao, Jianwei Yin
Learning Model-Based Privacy Protection under Budget Constraints
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Towards Efficient Selection of Activity Trajectories Based on Diversity and Coverage
Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID19 Outbreak
Congxi Xiao, Jingbo Zhou, Jizhou Huang, Haoyi Xiong, An Zhuo, Ji Liu, Dejing Dou
CMAX++ : Leveraging Experience in Planning and Execution Using Inaccurate Models
Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
Jong-Yeong Kim, Dong-Wan Choi
Computing Quantal Stackelberg Equilibrium in Extensive-Form Games
Jakub Cerny, Viliam Lisy, Branislav Bošanský, Bo An
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated
Upsampling
Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu
Symmetric Component Caching for Model Counting on Combinatorial Instances
Timothy van Bremen, Vincent Derkinderen, Shubham Sharma, Subhajit Roy, Kuldeep S Meel
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow
Prediction
Qiang Zhou, Jingjing Gu, * Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang
Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision
Problems with Uncertainty
Nian-Ze Lee, Jie-Hong R Jiang
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction
Jasmine Sekhon, Cody Fleming
Dynamic Memory Based Attention Network for Sequential Recommendation
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
SALNet: Semi-Supervised Few-Shot Text Classification with Attention-Based Lexicon
Construction
Ju-Hyoung Lee, Sang-Ki Ko, Yo-Sub Han
PHASE: Physically-Grounded Abstract Social Events for Machine Social Perception
Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua Tenenbaum
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
Rei Sato, Jun Sakuma, Youhei Akimoto
The Smoothed Complexity of Computing Kemeny and Slater Rankings
Lirong Xia, Weiqiang Zheng
Branch and Price for Bus Driver Scheduling with Complex Break Constraints
Lucas Kletzander, Nysret Musliu, Pascal Van Hentenryck
Window Loss for Abnormal Finding Classification and Localization in X-Ray Image with PointBase Annotation
Xinyu Zhang, Yirui Wang, Chi Tung Cheng, Le Lu, Adam P Harrison, Jing Xiao, ChienHung Liao, Shun
Miao
Measuring Dependence with Matrix-Based Entropy Functional
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, Jose Principe
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation CoDesign
Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection
Shuai Li, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang
Neural Utility Functions
Porter Jenkins, Ahmad Farag, Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and
Block-Wise Feature Aggregation
Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N Plataniotis,
Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, SangMin Lee, Kyunghoon Bae
Towards Fully Automated Manga Translation
Ryota Hinami, Shonosuke Ishiwatari, Kazuhiko Yasuda, Yusuke Matsui
Predictive Adversarial Learning from Positive and Unlabeled Data
Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan
Cascade Size Distributions: Why They Matter and How To Compute Them Efficiently
Rebekka Burkholz, John Quackenbush
Analogical Image Translation for Fog Generation
Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool
Computationally Tractable Riemannian Manifolds for Graph Embeddings
Calin C Cruceru, Gary Becigneul, Octavian Ganea
Characterizing the Evasion Attackability of Multi-Label Classifiers
Zhuo Yang, Yufei Han, Xiangliang Zhang
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
Tian Shi, Liuqing Li, Ping Wang, Chandan K Reddy
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
Will Dabney, Andre Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David
Silver
CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis
Boyo Chen, Buo-Fu Chen, Chun Min Hsiao
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction
Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao
On the PTAS for Maximin Shares in an Indivisible Mixed Manna
Rucha Kulkarni, Ruta Mehta, Setareh Taki
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological
Orderings
Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz
Classification by Attention: Scene Graph Classification with Prior Knowledge
Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp
Plug-and-Play Domain Adaptation for Cross-Subject EEG-Based Emotion Recognition
Liming Zhao, Xu Yan, Bao-Liang Lu
Gene Regulatory Network Inference as Relaxed Graph Matching
Deborah Weighill, Marouen Ben Guebila, Camila Lopes-Ramos, Kimberly Glass, John Quackenbush,
John H Platig, Rebekka Burkholz
Power in Liquid Democracy
Yuzhe Zhang, Grossi Davide
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks
Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft
FixMyPose: Pose Correctional Captioning and Retrieval
Hyounghun Kim, Abhaysinh S Zala, Graham H Burri, Mohit Bansal
Adaptive Verifiable Training Using Pairwise Class Similarity
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian Molloy
Fair Representations by Compression
Xavier Gitiaux, Huzefa Rangwala
Differentially Private k-Means via Exponential Mechanism and Max Cover
Huy Nguyen, Anamay Chaturvedi, Eric Z Xu
Proportional Representation under Single-Crossing Preferences Revisited
Andrei Costin Constantinescu, Edith Elkind
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-Cloud Stream Forecasting
Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras
We Can Explain Your Research in Layman’s Terms: Towards Automating Science Journalism
at Scale
Rumen R Dangovski, Michelle Shen, Dawson A Byrd, Li Jing, Desislava M Tsvetkova, Preslav Nakov,
Marin Soljacic
Learning Continuous High-Dimensional Models Using Mutual Information and Copula
Bayesian Networks
Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
Unsupervised Learning of Discourse Structures Using a Tree Autoencoder
Patrick Huber, Giuseppe Carenini
Robustness to Spurious Correlations in Text Classification via Automatically Generated
Counterfactuals
Zhao Wang, Aron Culotta
Generalization in Portfolio-Based Algorithm Selection
Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Ashraful Islam, Chengjiang Long, Richard Radke
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning
Xiaowei Hu, Xi Yin, Kevin Lin, Lei Zhang, Jianfeng Gao, Lijuan Wang, Zicheng Liu
Style-Transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric
Ivan P Yamshchikov, Viacheslav A. Shibaev, Nikolay Khlebnikov, Alexey Tikhonov
On Exploiting Hitting Sets for Model Reconciliation
Stylianos Loukas Vasileiou, Alessandro Previti, William Yeoh
Continual Learning for Named Entity Recognition
Natawut Monaikul, Giuseppe Castellucci, Simone Filice, Oleg Rokhlenko
Focused Inference and System P
Marco Wilhelm, Gabriele Kern-Isberner
VSQL: Variational Shadow Quantum Learning for Classification
Guangxi Li, Zhixin Song, Xin Wang
Text-Based RL Agents with Commonsense Knowledge: New Challenges, Environments and
Baselines
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel,
Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
Knowledge-Driven Natural Language Understanding of English Text and its Applications
Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Joaquín Arias, Gopal Gupta
Judgment Prediction via Injecting Legal Knowledge into Neural Networks
Leilei Gan, Kun Kuang, Yi Yang, Fei Wu
Faster and Better Simple Temporal Problems
Dario Ostuni, Alice Raffaele, Romeo Rizzi, Matteo Zavatteri
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a
Complex Pipeline
Michele Bevilacqua, Rexhina Blloshmi, Roberto Navigli
Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations
Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
On Fair and Efficient Allocations of Indivisible Goods
Aniket Murhekar, Jugal Garg
Frivolous Units: Wider Networks Are Not Really That Wide
Stephen Casper, Xavier Boix, Vanessa D’Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel
Kreiman
Combining Preference Elicitation with Local Search and Greedy Search for Matroid
Optimization
Nawal Benabbou, Cassandre Leroy, Thibaut Lust, Patrice Perny
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank
Approach
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah
DSLR : Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder
Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj
Verma, Chiranjib Bhattacharyya, Vinay Vishwanath
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan
The Influence of Memory in Multi-Agent Consensus
David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira, Marcelo Matheus Gauy, Peter
McBurney
Symbolic Music Generation with Transformer-GANs
Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Suresh
Rahul, Zachary Lipton, Alex J Smola
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search
Alvaro Velasquez, Brett Bissey, Lior Barak, Andre Beckus, Ismail Alkhouri, Daniel Melcer, George
Atia
Learning General Planning Policies from Small Examples without Supervision
Guillem Frances, Blai Bonet, Hector Geffner
Learning to Scale Mixed-Integer Programs
Timo Berthold, Gregor Hendel
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
Tony Gracious, Shubham Gupta, Arun Kanthali, Rui Castro, Ambedkar Dukkipati
Sample Efficient Reinforcement Learning with REINFORCE
Junzi Zhang, Jongho Kim, Brendan O’Donoghue, Stephen Boyd
Fairness in Forecasting and Learning Linear Dynamical Systems
Quan Zhou, Jakub Marecek, Robert Shorten
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
Zhengxuan Wu, Desmond Ong
Counting Maximal Satisfiable Subsets
Jaroslav Bendík, Kuldeep S Meel
Bounding Causal Effects on Continuous Outcome
Junzhe Zhang, Elias Bareinboim
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
Yu-Sian Jiang, Garrett Warnell, Peter Stone
Learning Invariant Representations Using Inverse Contrastive Loss
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya Ravi, Vikas Singh
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
Alexander Podolskiy, Dmitry Lipin, Andrey Bout, Ekaterina Artyomova, Irina Piontkovskaya
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
Christian Fiedler, Carsten Scherer, Trimpe Sebastian
A Lightweight Neural Model for Biomedical Entity Linking
Lihu Chen, Gael P Varoquaux, F* Suchanek
Enabling Fast Instruction-Based Modification of Learned Robot Skills
Tyler M Frasca, Bradley Oosterveld, Meia Chita-Tegmark, Matthias Scheutz
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture
Search
Rameswar Panda, Michele Merler, Mayoore S Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich
Finkler, Chun-Fu Richard Chen, Minsik Cho, Rogerio Feris, David Kung, Bishwaranja Bhattacharjee
NaturalConv: A Chinese Dialogue Dataset Towards Multi-Turn Topic-Driven Conversation
Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu
Reinforcement Learning of Sequential Price Mechanisms
Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David Parkes, Duncan Rheingans-Yoo
Robust Finite-State Controllers for Uncertain POMDPs
Murat Cubuktepe, Nils Jansen, Sebastian Junges, Ahmadreza Marandi, Marnix Suilen, Ufuk Topcu
Indecision Modeling
Duncan C McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana
Schaich Borg, John P Dickerson
Online Action Recognition
Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà
Fair and Efficient Allocations with Limited Demands
Sushirdeep Narayana, Ian Kash
Answering Regular Path Queries under Approximate Semantics in Lightweight Description
Logics
Oliver Fernandez Gil, Anni-Yasmin Turhan
5* Knowledge Graph Embeddings with Projective Transformations
Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
Xinyang Zhang, Pang Ren, Shouling Ji, Fenglong Ma, Ting Wang
GenSynth: Synthesizing Datalog Programs without Language Bias
Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman, Mayur Naik
Robustness Guarantees for Mode Estimation with an Application to Bandits
Aldo Pacchiano, Heinrich Jiang, Michael Jordan
eTREE: Learning Tree-Structured Embeddings
Faisal Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas Sidiropoulos
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network
Matthew Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover,
Stefanos Nikolaidis
Learning Precise Temporal Point Event Detection with Misaligned Labels
Julien Schroeter, Kirill Sidorov, David Marshall
Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering
Pavel Surynek
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State
and Neurological Disorders
Arun Das, Jeffrey R Mock, Yufei Huang, Edward J Golob, Peyman Najafirad
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
Yining Hong, Qing Li, Ran Gong, Daniel Ciao, Siyuan Huang, Song-Chun Zhu
TAC: Towered Actor Critic for Handling Multiple Action Types in Reinforcement Learning for
Drug Discovery
Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, . Sahir, Rohan Nuttall, Mohammad Amini,
Matthew E. Taylor, Sarath Chandar
Conversational Neuro-Symbolic Commonsense Reasoning
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki , Kathryn Mazaitis, Amos Azaria, Tom Mitchell
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for
Constrained MDPs
Aria HasanzadeZonuzy, Archana Bura, Dileep Kalathil, Srinivas Shakkottai
Solving Common-Payoff Games with Approximate Policy Iteration
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D’Orazio, Neil Burch,
Martin Schmid, Michael Bowling, Marc Lanctot
Contextual Conditional Reasoning
Tommie Meyer, Giovanni Casini, Ivan J Varzinczak, Giovanni Casini
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina E Marcu, Emil Slusanschi, Rahul
Sukthankar
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning
Rushang V Karia, Siddharth Srivastava
Bias and Variance of Post-Processing in Differential Privacy
Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
Modeling the Compatibility of Stem Tracks to Generate Music Mashups
Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems
Lewis Liu, Kun Zhao
Perception Score: A Learned Metric for Open-Ended Text Generation Evaluation
Jing Gu, Qingyang Wu, Zhou Yu
Explainable Models with Consistent Interpretations
Vipin Pillai, Hamed Pirsiavash
Bayesian Persuasion under Ex Ante and Ex Post Constraints
Yakov Babichenko, Inbal Talgam-Cohen, Konstantin Zabarnyi
On the Tractability of SHAP Explanations
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
Outlier Impact Characterization for Time Series Data
Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
Individual Fairness in Kidney Exchange Programs
Golnoosh Farnadi, William St-Arnaud , Behrouz Babaki, Margarida Carvalho
General Policies, Representations, and Planning Width
Blai Bonet, Hector Geffner
Automated Lay Language Summarization of Biomedical Scientific Reviews
Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context
Pooling
Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang
SMT-Based Safety Checking of Parameterized Multi-Agent Systems
Paolo Felli, Alessandro Gianola, Marco Montali
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement
Learning
Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate , Tom Melham, Daniel
Kroening
Steering a Historical Disease Forecasting Model under a Pandemic: Case of Flu and COVID
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren
Ramakrishnan, B. Aditya Prakash
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren
Persistence of Anti-Vaccine Sentiment in Social Networks through Strategic Interactions
A S M Ahsan-Ul Haque, Mugdha Thakur, Matthew Bielskas, Achla Marathe, Anil Vullikanti
Successor Feature Sets: Generalizing Successor Representations across Policies
Kianté Brantley, Soroush Mehri, Geoff Gordon
Classification with Strategically withheld Data
Anilesh K Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer
Adversarial Partial Multi-Label Learning with Label Disambiguation
Yan Yan, Yuhong Guo
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding
Tasks
Maurício G Gruppi, Pin-Yu Chen, Sibel Adali
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung
Context Matters: Graph-Based Self-Supervised Representation Learning for Medical Images
Li Sun, Ke Yu, Kayhan Batmanghelich
Inverse Reinforcement Learning with Explicit Policy Estimates
Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani
LIREx: Augmenting Language Inference with Relevant Explanations
Xinyan Zhao, V.G.Vinod Vydiswaran
A Scalable Two Stage Approach to Computing Optimal Decision Sets
Alexey Ignatiev, Edward Lam, Peter Stuckey, Joao Marques-Silva
Finding Diverse Trees, Paths, and More
Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, Yota Otachi
A Hierarchical Approach to Multi-Event Survival Analysis
Donna E Tjandra, Yifei He, Jenna Wiens
On the Softmax Bottleneck of Recurrent Language Models
Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation
Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu
Membership Privacy for Machine Learning Models through Knowledge Transfer
Virat Shejwalkar, Amir Houmansadr
Consistency Regularization with High-Dimensional Non-Adversarial Source-Guided
Perturbation for Unsupervised Domain Adaptation in Segmentation
Kaihong Wang, Chenhongyi Yang, Margrit Betke
A Permutation-Equivariant Neural Network Architecture for Auction Design
Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling
Eugene Seo, Rebecca Hutchinson, Xiao Fu, Chelsea A Li, Tyler A Hallman, John B Kilbride, W.
Douglas Robinson
A Controllable Model of Grounded Response Generation
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik KoncelKedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan
Estimating Calibrated Individualized Survival Curves with Deep Learning
Fahad Kamran, Jenna Wiens
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
Faeze FB Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
Umang Gupta, Aaron M Ferber, Bistra Dilkina, Greg Ver Steeg
IDOL: Inertial Deep Orientation-Estimation and Localization
Scott Sun, Dennis Melamed, Kris Kitani
Graph Neural Networks with Heterophily
Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen Ahmed, Danai Koutra
Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search
with General Bounding Functions
Jingwei Chen, Nathan R Sturtevant
Have We Solved the Hard Problem? It’s Not Easy! Contextual Lexical Contrast as a Means to
Probe Neural Coherence
Wenqiang Lei, Yisong Miao, Runpeng Xie, Bonnie Webber, Meichun Liu, Tat-Seng Chua, Nancy
Chen
Contract-Based Inter-User Usage Coordination in Free-Floating Car Sharing
Kentaro Takahira, Shigeo Matsubara
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
Serena L Booth, Yilun Zhou, Ankit Shah, Julie A. Shah
Improving Causal Discovery by Optimal Bayesian Network Learning
Ni Lu, Kun Zhang, Changhe Yuan
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware
Detection
Edward Raff, William Fleshman, Richard J Zak, Hyrum Anderson, Bobby Filar, Mark McLean
Hybrid-Order Stochastic Block Model
Xunxun Wu, Chang-Dong Wang, Pengfei Jiao
Optimising Automatic Calibration of Electric Muscle Stimulation
Graeme Gange, Jarrod Knibbe
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
Shangtong Zhang, Bo Liu, Shimon Whiteson
Submodular Span, with Applications to Conditional Data Summarization
Lilly Kumari, Jeff Bilmes
Communication-Aware Collaborative Learning
Avrim Blum, Shelby L Heinecke, Lev Reyzin
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav Varshney, Zhizhen Zhao
How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable
Evaluation
Swaroop Ranjan Mishra, Anjana Arunkumar
Visual Concept Reasoning Networks
Taesup Kim, Sungwoong Kim, Yoshua Bengio
Apparently Irrational Choice as Optimal Sequential Decision Making
Haiyang Chen, Hyung Jin Chang, Andrew Howes
Understanding Decoupled and Early Weight Decay
Johan Björck, Kilian Weinberger, Carla P Gomes
Adversarial Training and Provable Robustness: A Tale of Two Objectives
Jiamneg Fan, Wenchao Li
Smooth Convex Optimization Using Sub-Zeroth-Order Oracles
Mustafa O Karabag, Cyrus Neary, Ufuk Topcu
PID-Based Approach to Adversarial Attacks
Chen Wan, Biaohua Ye, Fangjun Huang
Continual General Chunking Problem and SyncMap
Danilo Vasconcellos Vargas, Toshitake Asabuki
Sequential Attacks on Kalman Filter-Based Forward Collision Warning Systems
Yuzhe Ma, Jon A Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu
Inductive Graph Neural Networks for Spatiotemporal Kriging
Yuankai Wu, Dingyi Zhuang, Aurelie Labbe, Lijun Sun
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
Yuqian Jiang, Sudarshanan Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel Weld
Stochastic Bandits with Graph Feedback in Non-Stationary Environments
Shiyin Lu, Yao Hu, Lijun Zhang
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin Duke
Low-Rank Registration Based Manifolds for Convection-Dominated PDEs
Rambod Mojgani, Maciej Balajewicz
Learning Graph Neural Networks with Approximate Gradient Descent
Qunwei Li, Shaofeng Zou, Wenliang Zhong
Probabilistic Dependency Graphs
Oliver E Richardson, Joseph Y Halpern
Stratified Rule-Aware Network for Abstract Visual Reasoning
Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
AttnMove: History Enhanced Trajectory Recovery via Attentional Network
Tong Xia, Jie Feng, Yunhan Qi, Fengli Xu, Yong Li, Diansheng Guo, Funing Sun
Interpretable Graph Capsule Networks for Object Recognition
Jindong Gu
Empowering Adaptive Early-Exit Inference with Latency Awareness
Xinrui Tan, Hongjia Li, Liming Wang, Xueqing Huang, Zhen Xu
Embracing Domain Differences in Fake News: Cross-Domain Fake News Detection Using
Multi-Modal Data
Amila Ruwansiri Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
Tianhao Wang, Yuheng Zhang, Ruoxi Jia
Keyword-Guided Neural Conversational Model
Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao
CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts
Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed
Hypergraphs
Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, Yi-Hsuan Yang
Adaptive Beam Search Decoding for Discrete Keyphrase Generation
Xiaoli Huang, Tongge Xu, Lvan Jiao, Yueran Zu, Youmin Zhang
Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding
Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou
Yang
Entity Structure Within and Throughout: Modeling Mention Dependencies for DocumentLevel Relation Extraction
Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classificationwith CrossDomain Images and Weak Labels
Siqi Yang, Jun Zhang, Junzhou Huang, Brian C Lovell, Xiao Han
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks
Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
Qi Jia, Hongru Huang, Kenny Zhu
Hindsight and Sequential Rationality of Correlated Play
Dustin Morrill, Ryan D’Orazio, Reca Sarfati, Marc Lanctot, James R Wright, Amy R Greenwald,
Michael Bowling
DeHiB: Deep Hidden Backdoor Attack on Semi-Supervised Learning via Adversarial
Perturbation
Zhicong Yan, Gaolei Li, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model
Felix Mohr, Viktor Bengs, Eyke Hüllermeier
Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a
Non-Fixed Number of Summary Sentences
Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang
Universal Adversarial Perturbations through the Lens of Deep Steganography: Towards a
Fourier Perspective
Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin
Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare
Maximization
Liucheng Sun, Chenwei Weng, Chengfu Huo, Weijun Ren, Guochuan Zhang, Xin Li
Physics-Constrained Automatic Feature Engineering for Predictive Modeling in Materials
Science
Ziyu Xiang, Mingzhou Fan, Guillermo Vazquez, William Trehern, Byung-Jun Yoon, Xiaofeng Qian,
Raymundo Arroyave, Xiaoning Qian
On Estimating Recommendation Evaluation Metrics under Sampling
Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu
Robust Fairness under Covariate Shift
Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian Ziebart
Boosting Multi-task Learning through Combination of Task Labels - with Applications in ECG
Phenotyping
Ming-En Hsieh, Vincent Tseng
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）