【AAAI 2021】全部接受论文列表（五）

来源：AINLPer微信公众号（点击了解一下吧）
编辑: ShuYini
校稿: ShuYini
时间: 2021-01-14

马上春节了，疫情又卷土而来，希望大家注意防护，爱护自己的身体

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。

关注 AINLPer ，回复 AAAI2021 获取会议全部列表PDF

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, Xinjiang 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, Xinjiang 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, Fabian 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）

标签：Based,Wang,Zhang,Li,Liu,2021,Learning,AAAI,列表
来源： https://blog.csdn.net/yinizhilianlove/article/details/112606500