AAAI

Online Class-Incremental Continual Learning with Adversarial Shapley Value

Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang

Comments Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21)

How Do We Move: Modeling Human Movement with System Dynamics

Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li

Comments Accepted by AAAI 2021, Appendices included. 12 pages, 8 figures. in Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Feb 2021

Nutri-bullets: Summarizing Health Studies by Composing Segments

Darsh J Shah, Lili Yu, Tao Lei, Regina Barzilay

Comments 12 pages

Journal ref AAAI 2021 Camera Ready

Simpson's Bias in NLP Training

Fei Yuan, Longtu Zhang, Huang Bojun, Yaobo Liang

Comments AAAI 2021

Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling

Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu

Comments Accepted by AAAI 2021

ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques

Yuanxin Liu, Zheng Lin, Fengcheng Yuan

Comments Published as a conference paper at AAAI 2021

Graph-Based Tri-Attention Network for Answer Ranking in CQA

Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang

Comments 9 pages (published in AAAI 2021)

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception

Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum

Comments The first two authors contributed equally; AAAI 2021; 13 pages, 7 figures; Project page: https://www.tshu.io/PHASE

Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM

Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi

Comments 13 pages, 4 figures, AAAI 2021 Conference

A Theoretical Analysis of the Repetition Problem in Text Generation

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

Comments AAAI 21 Paper with Appendix

Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks

Sejin Kim, Michal Kazmierski, Benjamin Haibe-Kains

Comments Accepted at AAAI Spring Symposium 2021 (SP-ACA)

Confidence-aware Non-repetitive Multimodal Transformers for TextCaps

Zhaokai Wang, Renda Bao, Qi Wu, Si Liu

Comments 9 pages; Accepted by AAAI 2021

Scalable Graph Networks for Particle Simulations

Karolis Martinkus, Aurelien Lucchi, Nathanaël Perraudin

Comments 19 pages, 20 figures, AAAI 2021

FLAME: Differentially Private Federated Learning in the Shuffle Model

Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa

Comments accepted by AAAI-21

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

Comments Accepted by 2021 AAAI Conference on Artificial Intelligence

Journal ref 2021 AAAI Conference on Artificial Intelligence

Lipschitz Lifelong Reinforcement Learning

Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman

Comments In proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 21 pages, 11 figures

On the adequacy of untuned warmup for adaptive optimization

Jerry Ma, Denis Yarats

Comments AAAI 2021

Universal Trading for Order Execution with Oracle Policy Distillation

Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu

Comments Accepted in AAAI 2021, the code and the supplementary materials are in https://seqml.github.io/opd/

Knowledge-Guided Object Discovery with Acquired Deep Impressions

Jinyang Yuan, Bin Li, Xiangyang Xue

Comments AAAI 2021

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

Kien Do, Truyen Tran, Svetha Venkatesh

Comments Accepted to AAAI 2021

Exploratory Combinatorial Optimization with Reinforcement Learning

Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky

Comments In Proceedings of the 34th National Conference on Artificial Intelligence, AAAI 2020

Journal ref Proceedings of Thirty-fourth AAAI conference on artificial intelligence, 3243-3250 (2020)

ChronoR: Rotation Based Temporal Knowledge Graph Embedding

Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang

Journal ref AAAI 2021

Slimmable Generative Adversarial Networks

Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang

Comments Accepted to AAAI 2021

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun

Comments AAAI 2021

Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text

Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha

Comments Accepted at AAAI Conference on Artificial Intelligence (AAAI 2021)

UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2

Yunyi Yang, Yunhao Li, Xiaojun Quan

Comments Accepted by AAAI 2021

LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints

Qingyang Tan, Zherong Pan, Dinesh Manocha

Comments AAAI-21

Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs

Yanlin Wang, Hui Li

Comments Accepted in AAAI 2021. This version contains the appendix for the derivation of Eq. 12

Searching for Alignment in Face Recognition

Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei

Comments Accepted by AAAI 2021

Few-Shot Learning for Road Object Detection

Anay Majee, Kshitij Agrawal, Anbumani Subramanian

Comments Accepted to AAAI 2021 Workshop on Meta-Learning