AAAI

Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation

Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou

Comments Accepted by AAAI 2021

Cold-start Sequential Recommendation via Meta Learner

Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

Comments Accepted at AAAI 2021

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng

Comments Accepted by AAAI 2021

Composite Adversarial Attacks

Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue

Comments To appear in AAAI 2021, code will be released later

Transfer Learning for Efficient Iterative Safety Validation

Anthony Corso, Mykel J. Kochenderfer

Comments Accepted to AAAI 2021

Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem

Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao

Comments To appear in AAAI 2021. arXiv admin note: text overlap with arXiv:2006.11116

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

Comments Accepted by AAAI'21

Exploration by Maximizing Rényi Entropy for Reward-Free RL Framework

Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li

Comments Accepted by AAAI-21

Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption

Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li

Comments Accepted by AAAI 2021

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning

Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex Bronstein

Comments Accepted to AAAI 2021

Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez

Comments In the 35th AAAI Conference on Artificial Intelligence. AAAI 2021

Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

Sijie Mai, Haifeng Hu, Songlong Xing

Comments Accepted by AAAI-2020; code is available at: https://github.com/TmacMai/ARGF_multimodal_fusion

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen

Comments published at AAAI 2020

Contrastive Transformation for Self-supervised Correspondence Learning

Ning Wang, Wengang Zhou, Houqiang Li

Comments To appear in AAAI 2021

Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang

Comments Accepted to AAAI 2021. Code: https://github.com/Lixy1997/Group-WSSS

Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing

Run-Ze Wang, Zhen-Hua Ling, Jing-Bo Zhou, Yu Hu

Comments Accepted by AAAI 2021

Label Confusion Learning to Enhance Text Classification Models

Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu

Comments 8 pages,3 figures, 5 tables. Accepted by AAAI-21

Improving Gradient Flow with Unrolled Highway Expectation Maximization

Chonghyuk Song, Eunseok Kim, Inwook Shim

Comments Accepted at AAAI 2021. Preprint

Defending against Contagious Attacks on a Network with Resource Reallocation

Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia

Comments 9 pages; AAAI 2021

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang

Comments Accepted by AAAI 2021. Code available at https://github.com/wzhouad/ATLOP

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua Tenenbaum, Tomas Lozano-Perez, Leslie Pack Kaelbling

Comments AAAI 2021

Distributional Reinforcement Learning via Moment Matching

Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh

Comments To appear in AAAI'21; code available at https://github.com/thanhnguyentang/mmdrl

Journal ref AAAI 2021

Diversity inducing Information Bottleneck in Model Ensembles

Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

Comments AAAI 2021. Samarth Sinha* and Homanga Bharadhwaj* contributed equally to this work

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

Rohan Chitnis, Tom Silver, Joshua Tenenbaum, Leslie Pack Kaelbling, Tomas Lozano-Perez

Comments AAAI 2021

Efficient Automatic CASH via Rising Bandits

Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), 4763-4771 (2020)

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang

Comments accepted in AAAI 2021

A Unifying Framework for Formal Theories of Novelty:Framework, Examples and Discussion

T. E. Boult, P. A. Grabowicz, D. S. Prijatelj, R. Stern, L. Holder, J. Alspector, M. Jafarzadeh, T. Ahmad, A. R. Dhamija, C. Li, S. Cruz, A. Shrivastava, C. Vondrick, W. J. Scheirer

Comments Extended version/preprint of a AAAI 2021 paper

Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng

Comments Accepted by AAAI 2021

Improving Clinical Document Understanding on COVID-19 Research with Spark NLP

Veysel Kocaman, David Talby

Comments Accepted to SDU (Scientific Document Understanding) workshop at AAAI 2021

A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization

Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N Balasubramanian

Comments Accepted at AAAI 2021