AAAI

On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations

Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin

Comments Accepted by AAAI 2022

Saliency Diversified Deep Ensemble for Robustness to Adversaries

Alex Bogun, Dimche Kostadinov, Damian Borth

Comments Accepted to AAAI Workshop on Adversarial Machine Learning and Beyond 2022

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

Jinyang Yuan, Bin Li, Xiangyang Xue

Comments AAAI 2022

Keypoint Message Passing for Video-based Person Re-Identification

Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele

Comments To appear in AAAI 2022

Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers

Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo

Comments accepted at AAAI 2022

On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals

Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang

Comments Accepted by AAAI'22

Implicit Gradient Alignment in Distributed and Federated Learning

Yatin Dandi, Luis Barba, Martin Jaggi

Comments AAAI Conference on Artificial Intelligence, 2022

SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition

Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du

Comments accepted to AAAI 2022

One More Check: Making "Fake Background" Be Tracked Again

Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Weiming Hu

Comments Accepted by AAAI 2022

Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning

Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen

Comments Accepted by AAAI-22

Towards Unbiased and Accurate Deferral to Multiple Experts

Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi

Comments This paper has been accepted for publication at the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES 2021)

Journal ref In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES), pages 154--165, 2021

With False Friends Like These, Who Can Notice Mistakes?

Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

Comments AAAI 2022

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances

Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha

Comments Published as a conference paper at AAAI 2021

On Causally Disentangled Representations

Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N Balasubramanian

Comments https://causal-disentanglement.github.io/IITH-CANDLE/ ; Accepted at the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

Interpretable Clustering via Multi-Polytope Machines

Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung Phan, Chandra Reddy

Comments Accepted to the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks

Seungyong Moon, Gaon An, Hyun Oh Song

Comments Accepted and to appear at AAAI 2022

How Private Is Your RL Policy? An Inverse RL Based Analysis Framework

Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit P. Gujar

Comments 15 pages, 7 figures, 5 tables, version accepted at AAAI 2022

Robustification of Online Graph Exploration Methods

Franziska Eberle, Alexander Lindermayr, Nicole Megow, Lukas Nölke, Jens Schlöter

Comments Accepted at AAAI 2022

Predicting Physical World Destinations for Commands Given to Self-Driving Cars

Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens, Matthew Blaschko

Comments Accepted at AAAI 2022. First two authors have contributed equally. Extended camera-ready version including the appendix and references to it in the main text

A Self-supervised Mixed-curvature Graph Neural Network

Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu

Comments Accepted by AAAI 2022, 11 pages

Rethinking the Two-Stage Framework for Grounded Situation Recognition

Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua

Comments Accepted by AAAI 2022

A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse

Junyi Li, Bin Gu, Heng Huang

Comments To appear in AAAI 2022

Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning

Giseung Park, Sungho Choi, Youngchul Sung

Comments Accepted to AAAI 2022

Attention-based Transformation from Latent Features to Point Clouds

Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin

Comments 9 pages, 7 figures, AAAI 2022

Learning Generalizable Behavior via Visual Rewrite Rules

Yiheng Xie, Mingxuan Li, Shangqun Yu, Michael Littman

Comments AAAI 2022 Workshop on Reinforcement Learning in Games

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving

Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang

Comments Accepted by AAAI 2022

Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring

Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang

Comments Accepted by AAAI-2022

Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers

Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song

Comments Accepted by AAAI 2022

Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation

Poorav Desai, Tanmoy Chakraborty, Md Shad Akhtar

Comments Accepted for publication in AAAI-2022

Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation

Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang

Comments Accepted by AAAI 2022