【AAAI 2021】全部接受论文列表（六）

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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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Estimating Identifiable Causal Effects through Double Machine Learning
Yonghan Jung, Jin Tian, Elias Bareinboim

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated
Learning
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan

Differentially Private Link Prediction with Protected Connections
Abir De, Soumen Chakrabarti

PAC Learning of Causal Trees with Latent Variables
Prasad Tadepalli, Stuart Russell

DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis
Md Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham

Adversarial Permutation Guided Node Representations for Link Prediction
Indradyumna Roy, Abir De, Soumen Chakrabarti

Single View Point Cloud Generation via Unified 3D Prototype
Yu Lin, Yigong Wang, Yi-Fan Li, Zhuoyi Wang, Yang Gao, Latifur Khan

Knowledge-Aware Coupled Graph Neural Network for Social Recommendation
Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing,
Xiaoping Lai, Yanfang Ye

Computational Analyses of the Electoral College: Campaigning Is Hard but Approximately
Manageable
Sina Dehghani, Hamed Saleh, Saeed Seddighin, Shanghua Teng

(Comet-) Atomic
On Symbolic and Neural Commonsense Knowledge Graphs
Jena D Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut,
Yejin Choi

Span-Based Event Coreference Resolution
Jing Lu, Vincent Ng

Near Lossless Transfer Learning for Spiking Neural Networks
Zhanglu Yan, Jun Zhou, Weng-Fai Wong

Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Lokesh Nagalapatti, Ramasuri Narayanam

PenDer: Incorporating Shape Constraints via Penalized Derivatives
Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson

Robust Bandit Learning with Imperfect Context
Jianyi Yang, Shaolei Ren

Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding
Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih-Fu Chang

Exploiting Learnable Joint Groups for Hand Pose Estimation
Moran Li, Yuan Gao, Nong Sang

Proposal-Free Video Grounding with Contextual Pyramid Network
Kun Li, Dan Guo, Meng Wang

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-Based
Recommendation
Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao,
Jimmy Huang

Segmentation of Tweets with URLs and its Applications to Sentiment Analysis
Abdullah Aljebreen, Weiyi Meng, Eduard Dragut

StarNet: Towards Weakly Supervised Few-Shot Object Detection
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan
Doveh, Prasanna Sattigeri, Rogerio Feris, Alex Bronstein, Raja Giryes

Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity
Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si

FILTER: An Enhanced Fusion Method for Cross-Lingual Language Understanding
Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu

Classification under Human Assistance
Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez

Lenient Regret for Multi-Armed Bandits
Nadav Merlis, Shie Mannor

A Blind Block Term Decomposition of High Order Tensors
Yunfeng Cai, Ping Li

A Unified Pretraining Framework for Passage Ranking and Expansion
Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang

Image-to-Image Retrieval by Learning Similarity between Scene Graphs

Sangwoong Yoon, Woo Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park,
Eun-Sol Kim

Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching
and Mirror Descent
Gabriele Farina, Christian Kroer, Tuomas Sandholm

Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided
Factorization
Shir Gur, Ameen Ali, Lior Wolf

Human Uncertainty Inference via Deterministic Ensemble Neural Networks
Yujin Cha, Sang Wan Lee

Rejection Sampling for Weighted Jaccard Similarity Revisited
Xiaoyun Li, Ping Li

Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with
Guarantees
Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee, Dan Alistarh

Learning to Reweight with Deep Interactions
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiangyang Li

Facility’s Perspective to Fair Facility Location Problems
Hau Chan, Minming Li, Chenhao Wang, Xiaoying Wu

Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation
Prasanna S Raut, Omid Sadeghi, Maryam Fazel

Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems
Zhengyu Chen, Ziqing Xu, Donglin Wang

Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
Long Yang, Qian Zheng, Gang Pan

Exploring Explainable Selection to Control Abstractive Summarization
Haonan Wang, Yang Gao, Yu Bai, Mirella Lapata, Heyan Huang

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex Bronstein

Turbocharging Treewidth-Bounded Bayesian Network Structure Learning
P. R. Vaidyanathan, Stefan Szeider

Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained
Linear Approximation
Yiting Wu, Min Zhang

A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving
Pei-Wei Chen, Yu-Ching Huang, Jie-Hong R Jiang

Loop Estimator for Discounted Values in Markov Reward Processes
Falcon Dai, Matthew Walter

Liquid Time-Constant Networks
Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

The Heads Hypothesis: A Unifying Statistical Approach towards Understanding Multi-Headed
Attention in BERT
Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra

End-to-End Semantic Role Labeling with Neural Transition-Based Model
Hao Fei, Meishan Zhang, Bobo Li, Donghong Ji

A General Offline Reinforcement Learning Framework for Interactive Recommendation
Teng Xiao, Donglin Wang

Efficient Certification of Spatial Robustness
Anian Ruoss, Maximilian Baader, Mislav Balunovic, Martin Vechev

Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised
Learning
Zhen-Ru Zhang, Qian-Wen Zhang, Yunbo Cao, Min-Ling Zhang

On-Line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State
Spaces
Leonardo Lamanna, Alfonso Gerevini, Alessandro Saetti, Luciano Serafini, Paolo Traverso

Weighting-Based Variable Neighborhood Search for Optimal Camera Placement
Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Chumin Li, Weibo Lin, Fuda Ma

Token-Aware Virtual Adversarial Training in Natural Language Understanding
Linyang Li, Xipeng Qiu

An Information-Theoretic Framework for Unifying Active Learning Problems
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

On the Verification of Neural ODEs with Stochastic Guarantees
Sophie Grünbacher, Ramin Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu

Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
Marc Rigter, Bruno Lacerda, Nick Hawes

Planning from Pixels in Atari with Learned Symbolic Representations
Andrea Dittadi, Frederik K Drachmann, Thomas Bolander

Randomized Generation of Adversary-Aware Fake Knowledge Graphs to Combat Intellectual
Property Theft
Snow Kang, Cristian Molinaro, Andrea Pugliese, V. S. Subrahmanian

Progressive Network Grafting for Few-Shot Knowledge Distillation
Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song

Probabilistic Programming Bots in Intuitive Physics Game Play
Fahad Alhasoun, Sarah Alnegheimish

UWSpeech: Speech to Speech Translation for Unwritten Languages
Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, Tieyan Liu

Variational Inference for Learning Representations of Natural Language Edits
Edison Marrese-Taylor, Machel O Reid, Yutaka Matsuo

Analogy Training Multilingual Encoders
Nicolas Garneau, Mareike Hartmann, Anders T Sandholm, Sebastian Ruder, Ivan Vulić, Anders
Søgaard

Teaching the Old Dog New Tricks: Supervised Learning with Constraints
Fabrizio Detassis, Michele Lombardi, Michela Milano

Automated Cross-Prompt Scoring of Essay Traits
Robert Ridley, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen

Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial
Learning
Bosung Kim, Juae Kim, Youngjoong Ko, Jungyun Seo

Towards Generalized Implementation of Wasserstein Distance in GANs
Minkai Xu

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo
Zhang, Wulong Liu, Jianye Hao

Modular Graph Transformer Networks for Multi-Label Image Classification

Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le

IB-GAN: Disengangled Representation Learning with Information Bottleneck Generative
Adversarial Networks
Insu Jeon, Wonkwang Lee, Myeongjang Pyeon, Gunhee Kim

Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry, Albert Gordo, Puneet Dokania, Philip Torr, David Lopez-Paz

End-to-End Differentiable Learning to HDR Image Synthesis for Multi-Exposure Images
Junghee Kim, Siyeong Lee, Suk-Ju Kang

Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing
Problems
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

Augmented Partial Mutual Learning with Frame Masking for Video Captioning
Ke Lin, Zhuoxin Gan, Liwei Wang

Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
Rahul Aralikatte, Mostafa Abdou, Heather C Lent, Daniel Hershcovich, Anders Søgaard

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
Tuan Anh Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang

Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang

Visual Pivoting for (Unsupervised) Entity Alignment
Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier

Deep Open Intent Classification with Adaptive Decision Boundary
Hanlei Zhang, Hua Xu, Ting-En Lin

Movie Summarization via Sparse Graph Construction
Pinelopi Papalampidi, Frank Keller, Mirella Lapata

Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence
Meanings?
Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu

The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring
Datasets
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz

Fact-Enhanced Synthetic News Generation
Kai Shu, Yichuan Li, Kaize Ding, Huan Liu

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global
Inference
Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei
Wang

Self-Supervised Self Supervision by Combining Deep Learning and Probabilistic Logic
Hunter Lang, Hoifung Poon

TreeCaps: Tree-Based Capsule Networks for Source Code Processing
Nghi Bui, Yijun Yu, Lingxiao Jiang

Dialog Policy Learning for Joint Clarification and Active Learning Queries
Aishwarya Padmakumar, Raymond Mooney

Semantics-Aware Inferential Network for Natural Language Understanding
Shuiliang Zhang, Hai Zhao, Junru Zhou, Xi Zhou, Xiang Zhou

Topic-Aware Multi-Turn Dialogue Modeling
Yi Xu, Hai Zhao, Zhuosheng Zhang

Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
Yu Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar

Stylized Dialogue Response Generation Using Stylized Unpaired Texts
Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang

Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation
Yan-Bo Lin, Yu-Chiang Frank Wang

Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural
Networks
Yang Song, Qiyu Kang, Wee Peng Tay

Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary
Coefficients
Zijian Lei, Liang Lan

The Power of Literal Equivalence in Model Counting
Yong Lai, Kuldeep S Meel, Roland Yap

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang

Show, Attend and Distill: Knowledge Distillation via Attention-Based Feature Matching
Mingi Ji, Byeongho Heo, Sungrae Park

Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoc, Kari Hreinsson, Wing-Kin Ma

DropLoss for Long-Tail Instance Segmentation
Ting-I Hsieh, Esther A Robb, Hwann-Tzong Chen, Jia-Bin Huang

Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection
Wei Wang, Piji Li, Hai-Tao Zheng

Combining Reinforcement Learning and Constraint Programming for Combinatorial
Optimization
Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Andre Cire

MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson

Improved Consistency Regularization for GANs
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang

Quantum Exploration Algorithms for Multi-Armed Bandits
Daochen Wang, Xuchen You, Tongyang Li, Andrew Childs

A Case Study of the Shortcut Effects in Visual Commonsense Reasoning
Keren Ye, Adriana Kovashka

Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters
Avi Matza, Yuval Bistritz

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Jason Jo, Giulia Zarpellon, Andrea Lodi, Yoshua Bengio

Differentiable Fluids with Solid Coupling for Learning and Control
Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C Lin

GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex M Lamb, Yoshua Bengio, Juho Kannala, Jian Tang

Brain Decoding Using fNIRS

Lu Cao, Dandan Huang, Yue Zhang, Xiaowei Jiang, Yanan Chen

Contextualized Rewriting for Text Summarization
Guangsheng Bao, Yue Zhang

Consecutive Decoding for Speech-to-Text Translation
Qianqian Q Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li

Anytime Inference with Distilled Hierarchical Neural Ensembles
Adria Ruiz, Jakob Verbeek

Active Feature Selection for the Mutual Information Criterion
Shachar Schnapp, Sivan Sabato

Distributional Reinforcement Learning via Moment Matching
Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh

Learning Dynamics Models with Stable Invariant Sets
Naoya Takeishi, Yoshinobu Kawahara

Interpreting Multivariate Shapley Interactions in DNNs
Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang

Learning from eXtreme Bandit Feedback
Romain Lopez, Inderjit S. Dhillon, Michael Jordan

Non-Asymptotic Convergence of Adam-Type Reinforcement Learning Algorithms under
Markovian Sampling
Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang

Power up! Robust Graph Convolutional Network via Graph Powering
Heng Chang, Ming Jin, Wenwu Zhu, Somayeh Sojoudi

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli

Projection-Free Bandit Optimization with Privacy Guarantees
Alina Ene, Huy Nguyen, Adrian Vladu

Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-Faith
Textual Requests
Jiaao Chen, Diyi Yang

GO Hessian for Expectation-Based Objectives
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin Duke

Context-Aware Attentional Pooling (CAP) for Fine-Grained Visual Classification
Ardhendu Behera, Zachary Wharton, Pradeep R P G Hewage, ASISH BERA

Revisiting Consistent Hashing with Bounded Loads
John Chen, Benjamin Coleman, Anshumali Shrivastava

Ordinal Historical Dependence in Graphical Event Models with Tree Representations
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian

If You Like Shapley Then You’ll Love the Core
Tom Yan, Ariel D Procaccia

Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev Tannirkulam Chandrasekaran, Arindam Sanyal

TempLe: Learning Template of Transitions for Sample Efficient Multi-Task RL
Yanchao Sun, Xiangyu Yin, Furong Huang

Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
Anh Tong, Jaesik Choi

On the Importance of Word Order Information in Cross-Lingual Sequence Labeling
Zihan Liu, Genta I Winata, Samuel Cahyawijaya, Andrea Madotto, Zhaojiang Lin, Pascale Fung

Humor Knowledge Enriched Transformer for Understanding Multimodal Humor
Md Kamrul Hasan, Sangwu Lee, Wasifur Rahman, Amir Zadeh, Rada Mihalcea, Louis-Philippe
Morency, Ehsan Hoque

Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
Yihan Du, Yuko Kuroki, Wei Chen

Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic
Model
Hongyu Lin, Wenkai Zhang, Xianpei Han, Le Sun, Huidan Liu, Nicholas Yuan, Zhicheng Wei

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional
Conversation Generation
Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

A New Bounding Scheme for Influence Diagrams
Radu Marinescu, Junkyu Lee, Rina Dechter

Searching for Machine Learning Pipelines Using a Context-Free Grammar

Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P.
Palmes, Adi Botea

Artificial Dummies for Urban Dataset Augmentation
Antonin Vobecky, David Hurych, Michal Uricar, Patrick Pérez, Josef Sivic

Explaining Neural Matrix Factorization with Gradient Rollback
Carolin Lawrence, Timo Sztyler, Mathias Niepert

Binary Matrix Factorisation via Column Generation
Reka A Kovacs, Oktay Gunluk, Raphael Hauser

Learning to Pre-Train Graph Neural Networks
Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi

Towards Reusable Network Components by Learning Compatible Representations
Michael Gygli, Jasper Uijlings, Vittorio Ferrari

Stable Adversarial Learning under Distributional Shifts
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee

Learning Light-Weight Translation Models from Deep Transformer
Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu

Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient
Descent
Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh

Learning Rewards from Linguistic Feedback
Theodore R Sumers, Mark Ho, Robert Hawkins, Karthik Narasimhan, Tom Griffiths

FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates

Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization
Alan Kuhnle

XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense
Disambiguation
Tommaso Pasini, Alessandro Raganato, Roberto Navigli

Knowledge-Aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster
Long Text Classification
Jinhua Du, Yan Huang, Karo Moilanen

Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
Boris N. Oreshkin, Dmitri Carpov, Chapados Nicolas, Yoshua Bengio

Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez

HARGAN: Heterogeneous Argument Attention Network for Persuasiveness Prediction
Kuo-Yu Huang, Hen-Hsen Huang, Hsin-Hsi Chen

Data-Driven Competitive Algorithms for Online Knapsack and Set Cover
Ali Zeynali, Bo Sun, Mohammad Hajiesmaili, Adam Wierman

Multi-Dimensional Explanation of Target Variables from Documents
Diego Antognini, Claudiu Musat, Boi Faltings

Fast Training of Provably Robust Neural Networks by SingleProp
Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel

Learning Adjustment Sets from Observational and Limited Experimental Data
Sofia Triantafillou, Greg Cooper

Online Class-Incremental Continual Learning with Adversarial Shapley Value
Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang

Precision-Based Boosting
Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles

Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer ExtensiveForm Games
Youzhi Zhang, Bo An, Jakub Cerny

Identity-Aware Graph Neural Networks
Jiaxuan You, Jonathan M Gomes-Selman, Rex Ying, Jure Leskovec

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening
and Optimal Transport
Tengfei Ma, Jie Chen

Inverse Reinforcement Learning with Natural Language Goals
Li Zhou, Kevin Small

Towards Feature Space Adversarial Attack by Style Perturbation
Qiuling Xu, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang

Data Augmentation for Graph Neural Networks
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J Woodford, Meng Jiang, Neil Shah

Estimating alpha-Rank by Maximizing Information Gain
Tabish Rashid, Cheng Zhang, Kamil Ciosek

Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning
Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh

Differentially Private Decomposable Submodular Maximization
Anamay Chaturvedi, Huy Nguyen, Lydia Zakynthinou

Localization in the Crowd with Topological Constraints
Shahira Abousamra, Minh Hoai Nguyen, Dimitris Samaras, Chao Chen

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Russell Tsuchida, Tim D Pearce, Chris van der Heide, Fred Roosta, Marcus Gallagher

Learning Branching Heuristics for Propositional Model Counting
Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris Maddison, Roger B Grosse, Sanjit A. Seshia,
Fahiem Bacchus

Towards Topic-Aware Slide Generation for Academic Papers with Unsupervised Mutual
Learning
Da-Wei Li, Danqing Huang, Tingting Ma, Chin-Yew Lin

GTA: Graph Truncated Attention for Retrosynthesis
Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju
Hwang, Eunho Yang

The Sample Complexity of Teaching by Reinforcement on Q-Learning
Xuezhou Zhang, Shubham Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

Geodesic-HOF: 3D Reconstruction without Cutting Corners
Ziyun Wang, Eric Mitchell, Volkan Isler, Daniel D Lee

Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion
Josh Roy, George Konidaris

Class-Attentive Diffusion Network for Semi-Supervised Classification
Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty
Regularization
Kien Duc Do, Truyen Tran, Svetha Venkatesh

Variance Penalized On-Policy and Off-Policy Actor-Critic
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
Jihyeon Lee, Dylan J Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David Lobell, Stefano
Ermon

Inference-Based Deterministic Messaging for Multi-Agent Communication
Varun Bhatt, Michael Buro

Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and
Sentiment Classification
Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu

MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and
Normalization
Baohang Zhou, Xiangrui Cai, Ying ZHANG, Wenya Guo, Xiaojie Yuan

Adressing Class Imbalance in Federated Learning
Lixu Wang, Shichao Xu, Xiao Wang, Zhu Qi

A Neural Group-Wise Sentiment Analysis Model with Data Sparsity Awareness
Deyu Zhou, Meng Zhang, Linhai Zhang, Yulan He

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank
Utterances
Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha

Iterative Utterance Segmentation for Neural Semantic Parsing
Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang

Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised
Semantic Applications
Haw-shiuan Chang, Amol Agrawal, Andrew McCallum

Beyond Low-Frequency Information in Graph Convolutional Networks
Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen

Neural-Symbolic Integration: A Compositional Perspective
Efthymia Tsamoura, Timothy Hospedales, Loizos Michael

Policy Optimization as Online Learning with Mediator Feedback
Alberto Maria Metelli, Matteo Papini, Pierluca D’Oro, Marcello Restelli

Adversarial Language Games for Advanced Natural Language Intelligence
Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang
Zeng, Zhiyuan Liu, Maosong Sun

Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood
Queries
Dimitris Fotakis, Thanasis Pittas, Stratis Skoulakis

MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling
Sean Welleck, Kyunghyun Cho

Rethinking Graph Regularization for Graph Neural Networks
Han Yang, Kaili Ma, James Cheng

A Flexible Framework for Communication-Efficient Machine Learning
Sarit Khirirat, Sindri Magnusson, Arda Aytekin, Mikael Johansson

Dynamic Knowledge Graph Alignment
Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong

Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel

Maximum Roaming Multi-Task Learning
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga

Differentially Private Clustering via Maximum Coverage
Matthew Jones, Huy Nguyen, Thy D Nguyen

The Causal Learning of Retail Delinquency
Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang

Frugal Optimization for Cost-Related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang

Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional
Variational Autoencoder for Automatic Storytelling
Meng Hsuan Yu, Juntao Li , Zhangming Chan, Dongyan Zhao, Rui Yan

Unsupervised Opinion Summarization with Content Planning
Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata

A Theory of Independent Mechanisms for Extrapolation in Generative Models
Michel Besserve, Remy Sun, Dominik Janzing, Bernhard Schölkopf

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth R Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal,
Jianfeng Gao

Open Domain Dialogue Generation with Latent Images
Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li

AutoDrop: Learning Dropping Patterns to Regularize Deep Networks
Hieu Pham, Quoc Le

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

Online Non-Monotone DR-Submodular Maximization
Kim Thang Nguyen, Abhinav Srivastav

Minimum Robust Multi-Submodular Cover for Fairness
Lan N Nguyen, My T. Thai

C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling
Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu

Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
Yaru Hao, Li Dong, Furu Wei, Ke Xu

Few-Shot Learning for Multi-Label Intent Detection
Yutai Hou, Yongkui Lai, YuShan Wu, Wanxiang Che, Ting Liu

Enhanced Regularizers for Attributional Robustness
Anindya Sarkar, Anirban Sarkar, Vineeth N Balasubramanian

Deep Innovation Protection: Confronting the Credit Assignment Problem in Training
Heterogeneous Neural Architectures
Sebastian Risi, Kenneth O Stanley

Does Explainable Artificial Intelligence Improve Human Decision-Making?
Yasmeen Alufaisan, Laura Marusich, Jonathan Bakdash, Yan Zhou, Murat Kantarcioglu

Necessarily Optimal One-Sided Matchings
Hadi Hosseini, Vijay Menon, Nisarg Shah, Sujoy Sikdar

Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum
Games
Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian Ratliff

Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical
Models with Hidden Variables
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu,
Dileep George

Multilingual Transfer Learning for QA Using Translation as Data Augmentation
Mihaela Bornea, Lin Pan, Sara Rosenthal, Radu Florian, Avi Sil

Top-k Ranking Bayesian Optimization
Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet

Improved Mutual Information Estimation
Youssef Mroueh, Igor Melnyk, Pierre Dognin, Jarret Ross, Tom Sercu

Meta Label Correction for Noisy Label Learning
Guoqing Zheng, Ahmed Awadallah, Susan Dumais

Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial
Calibration
Christian Tomani, Florian Buettner

Invertible Concept-Based Explanations for CNN Models with Non-Negative Concept
Activation Vectors
Ruihan Zhang, Prashan M Madumal, Tim Miller, Krista A. Ehinger, Benjamin Rubinstein

MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification
Te-Lin Wu, Shikhar Singh, Sayan Paul, Gully A Burns, Nanyun Peng

Sublinear Classical and Quantum Algorithms for General Matrix Games
Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu

Segatron: Segment-Aware Transformer for Language Modeling and Understanding
He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li

Learning from Crowds by Modeling Common Confusions
Zhendong Chu, Jing Ma, Hongning Wang

GATE: Graph Attention Transformer Encoder for Cross-Lingual Relation and Event
Extraction
Wasi U Ahmad, Nanyun Peng, Kai-Wei Chang

MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi

It Takes Two to Empathize: One to Seek and One to Provide
Mahshid Hosseini, Cornelia Caragea

Submodel Decomposition Bounds for Influence Diagrams
Junkyu Lee, Radu Marinescu, Rina Dechter

Paragraph-Level Commonsense Transformers with Recurrent Memory
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi

Fair Influence Maximization: a Welfare Optimization Approach
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan
Brown , Eric Rice, Milind Tambe

Bringing UMAP Closer to the Speed of Light with GPU Acceleration
Corey J Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditalte, Tim Oates, John Zedlewski,
Joshua Patterson

Scalable Equilibrium Computation in Multi-Agent Influence Games on Networks
Fotini Christia, Michael J Curry, Constantinos Daskalakis, Erik Demaine, John P Dickerson,
MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina L Knittel, Aidan Milliff

Circles Are Like Ellipses, or Ellipses Are Like Circles? Measuring the Degree of Asymmetry of
Static and Contextual Word Embeddings and the Implications to Representation Learning
Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel

Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward
Learning with Iterative Reasoning and Cumulative Prospect Theory
Ran Tian, Liting Sun, Masayoshi TOMIZUKA

Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-toText Transformation
Ning Bian, Xianpei Han, Bo Chen, Le Sun

Converse, Focus and Guess - Towards Multi-Document Driven Dialogue
Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang

Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
Gabriele Farina, Robin Schmucker, Tuomas Sandholm

Interpretable Sequence Classification via Discrete Optimization
Maayan Shvo, Andrew C Li, Rodrigo A Toro Icarte, Sheila A. McIlraith

Defending against Backdoors in Federated Learning with Robust Learning Rate
Mustafa S Ozdayi, Murat Kantarcioglu, Yulia R. Gel

BERT & Family Eat Word Salad: Experiments with Text Understanding
Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar

LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
Boer Lyu, Lu Chen, Su Zhu, Kai Yu

Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games
Gabriele Farina

Visual Boundary Knowledge Translation for Foreground Segmentation
Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song

Distribution Matching for Rationalization
Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-Shot Commonsense
Question Answering
Antoine Bosselut, Ronan Le Bras, Yejin Choi

Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural
Networks
Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung

Reinforced Multi-Teacher Selection for Knowledge Distillation
Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang

Efficient Poverty Mapping from High Resolution Remote Sensing Images
Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David Lobell, Stefano Ermon

Sketch and Customize: A Counterfactual Story Generator
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng

Deep Contextual Clinical Prediction with Reverse Distillation
Rohan S Kodialam, Rebecca Boiarsky, Justin K Lim, Aditya Sai, Neil Dixit, David Sontag

Exploiting Behavioral Consistence for Universal User Representation
Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, Jun Zhang

Generating CCG Categories
Yufang Liu, Tao Ji, Yuanbin Wu, Man Lan

Hierarchical Relational Inference

Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber

Agent Incentives: A Causal Perspective
Tom Everitt, Ryan Carey, Eric D Langlois, Pedro Ortega, Shane Legg

Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff
Functions
Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Kenichi Kawarabayashi

Tune-In: Training under Negative Environments with Interference for Attention Networks
Simulating Cocktail Party Effect
Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu

OpEvo: An Evolutionary Method for Tensor Operator Optimization
Xiaotian Gao, Wei Cui, lintao Zhang, Mao Yang

Faster Depth-Adaptive Transformers
Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu

DocParser: Hierarchical Document Structure Parsing from Renderings
Johannes Rausch, Jesus Octavio Martinez Bermudez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel

Adversarial Turing Patterns from Cellular Automata
Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan Oseledets

Expected Eligibility Traces
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, Andre Barreto, David Silver, Diana Borsa

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang

“Listen, Understand and Translate”: Triple Supervision Decouples End-to-End Speech-toText Translation
Qianqian Q Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li

DirectQE: Direct Pretraining for Machine Translation Quality Estimation
Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen

Deep Bayesian Quadrature Policy Optimization
Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar,
Yisong Yue

Special Track on AI for Social Impact

Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of
Supervised Attention
Hongyu Gong, Alberto Valido, Katherine M Ingram, Giulia Fanti, Suma Bhat, Dorothy L Espelage

Learning Augmented Methods for Matching: Improving Invasive Species Management and
Urban Mobility
Johan Björck, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P Gomes

Project RISE: Recognizing Industrial Smoke Emissions
Yen-Chia Hsu, Ting-Hao K Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia
Tsuhlares, Jessica Pachuta, Randy Sargent, Illah Nourbakhsh

Fair and Interpretable Algorithmic Hiring Using Evolutionary Many Objective Optimization
Michael Geden, Joshua Andrews

Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote
Sensing
Johan Björck, Brendan Rapazzo, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P
Gomes

We Don’t Speak the Same Language: Interpreting Polarization through Machine Translation
Ashiqur KhudaBukhsh, Rupak Sarkar, Mark Kamlet, Tom Mitchell

Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor
Machine Learning Approach
Yiyuan Yang, Yi Li, Taojia Zhang, Yan Zhou, Haifeng Zhang

Forecasting Reservoir Inflow via Recurrent Neural ODEs
Fan Zhou, Liang Li

Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra
Zhengcong Fei

Land Deformation Prediction via Slope-Aware Graph Neural Networks
Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang

Combining Machine Learning & Reasoning for Biodiversity Data Intelligence
Atriya Sen, Beckett Sterner, Nico Franz, Caleb Powel, Nathan Upham

Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use
Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav

Intelligent Recommendations for Citizen Science

Kobi Gal, Guy Shani, Avi Segal, Darlene Cavalier, Daniel Ben Zaken

Graph Learning for Inverse Landscape Genetics
Prathamesh Dharangutte, Christopher Musco

Predicting Forest Fire Using Remote Sensing Data and Machine Learning
Suwei Yang, Massimo Lupascu, Kuldeep S Meel

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction
Lucien K.L. Ng, Sherman S. M. Chow, Pui Yung Anna Woo, Yongjun Zhao

Detection and Prediction of Nutrient Deficiency Stress Using Longitudinal Aerial Imagery
Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs

HOT-VAE: Learning High-Order Label Correlation for Multi-LabelClassification via AttentionBased Variational Autoencoders
Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P Gomes

Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing
Homelessness
Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav,
Eric Rice, Milind Tambe

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing
Li Yu, Zhengwei Wu, Ziqi Liu, Zhiqiang Zhang, Jinjie Gu, Xiaodong Zeng, Lihong Gu, Tianchi Cai

Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
Kang Liu, Benjamin Tan, Siddharth Garg

Evidence Aware Neural Pornographic Text Identification for Child Protection
Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, Xiaozhong Liu

A Universal 2-State n-Action Adaptive Management Solver
Luz V Pascal, Marianne Akian, Sam Nicol, Iadine Chades

Fairness in Influence Maximization through Randomization
Ruben Becker, Gianlorenzo D’Angelo, Sajjad Ghobadi, Hugo Gilbert

K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management
Jonathan Ferrer Mestres, Thomas Dietterich, Olivier Buffet, Iadine Chades

Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches

Barak Itkin, Lior Wolf, Nachum Dershowitz

Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey

Mitigating Political Bias in Language Models through Reinforced Calibration
Ruibo Liu, Chenyan Jia, Jason W Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi

RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery
Christian A Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo
Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski

Predicting Flashover Occurrence Using Surrogate Temperature Data
Eugene Yujun Fu, Wai Cheong Tam, Jun Wang, Richard Peacock, Paul A Reneke, Grace Ngai, Hong
Va Leong, Thomas Cleary

Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual
Assistant for Illiterate Users
Moussa Doumbouya, Lisa Einstein, Chris Piech

Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of
Interest
Erzhuo Shao, Shiyuan Guo, Zachary A Pardos

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud
Detection
Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing
He

Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing
Fengyang Xu, Guanbin Li, Yunfei Du, Zhiguang Chen, Yutong Lu

Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey, Aron
Laszka

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

Real-Time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous
Satellite Data
Boyo Chen, Buo-Fu Chen, Yun-Nung Chen

Court Opinion Generation from Case Fact Description with Legal Basis
Quanzhi Li, Qiong Zhang

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee

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：Wang,Zhang,Neural,列表,Chen,2021,Learning,AAAI,Li
来源： https://blog.csdn.net/yinizhilianlove/article/details/112607124