【AAAI 2021】全部接受论文列表（六）

来源：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

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）