AAAI

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

Comments 9 pages, 5 figures, 6 tables, accepted by AAAI 2023

ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency

Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Comments Accepted by the Thirty-Seventh AAAI Conference on Artificial Intelligence(AAAI2023)

FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms

Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua

Comments To appear in AAAI 2023 AISI track. This version contains appendix with additional details

Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu

Comments Accepted by AAAI 2023

Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus

Yudong Xu, Elias B. Khalil, Scott Sanner

Comments 9 pages, 5 figures, to be published in AAAI-23

A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection

Wenhao Wang, Yifan Sun, Yi Yang

Comments Accepted to AAAI 2023

Do Invariances in Deep Neural Networks Align with Human Perception?

Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

Comments AAAI 2023

Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks

Michał Jamroż, Marcin Kurdziel

Comments Accepted to AAAI 2023. Extended version

Probably Approximate Shapley Fairness with Applications in Machine Learning

Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Kian Hsiang Low

Comments 37th AAAI Conference on Artificial Intelligence (AAAI 2023)

Purifier: Defending Data Inference Attacks via Transforming Confidence Scores

Ziqi Yang, Lijin Wang, Da Yang, Jie Wan, Ziming Zhao, Ee-Chien Chang, Fan Zhang, Kui Ren

Comments accepted by AAAI 2023

Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning

Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai

Comments Version with appendix for the AAAI-23 publication

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning

Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen

Comments 7 pages, 5 figures, 5 tables. Accepted in AAAI 2023

Language Model Pre-training on True Negatives

Zhuosheng Zhang, Hai Zhao, Masao Utiyama, Eiichiro Sumita

Comments Accepted by AAAI 2023

CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection

Xidong Peng, Xinge Zhu, Yuexin Ma

Comments Accepted by AAAI 2023

Experimental Observations of the Topology of Convolutional Neural Network Activations

Emilie Purvine, Davis Brown, Brett Jefferson, Cliff Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou

Comments Accepted at AAAI 2023. This version includes supplementary material

Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models

Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu

Comments Accepted by AAAI 2023. Code is available at https://github.com/MAEHCM/AET

Target-Free Text-guided Image Manipulation

Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang

Comments AAAI 2023

Multiagent MST Cover: Pleasing All Optimally via A Simple Voting Rule

Bo Li, Xiaowei Wu, Chenyang Xu, Ruilong Zhang

Comments To appear in AAAI 2023

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples

Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun

Comments Accepted by the 37th AAAI Conference on Artificial Intelligence (AAAI-23)

Transformation-Equivariant 3D Object Detection for Autonomous Driving

Hai Wu, Chenglu Wen, Wei Li, Xin Li, Ruigang Yang, Cheng Wang

Comments Accepted by AAAI 2023

Vector causal inference between two groups of variables

Jonas Wahl, Urmi Ninad, Jakob Runge

Comments First two authors contributed equally. Accepted for publication at AAAI 2023. Code will be made available after publication. Comments welcome!

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang

Comments AAAI 2023

Simple and Effective Synthesis of Indoor 3D Scenes

Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson

Comments AAAI 2023

Evaluating and Improving Interactions with Hazy Oracles

Stephan J. Lemmer, Jason J. Corso

Comments To be published in the Proceedings of the 2023 AAAI Conference on Artificial Intelligence (AAAI) 14 pages, 5 tables, 9 figures

CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization

Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad

Comments Accepted in the Student Abstract & Poster Presentation Track at AAAI 2023

Automated Play-Testing Through RL Based Human-Like Play-Styles Generation

Pierre Le Pelletier de Woillemont, Rémi Labory, Vincent Corruble

Comments Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 18(1)

Journal ref Vol. 18 No. 1 (2022): Eighteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Causes of Stability in Dynamic Coalition Formation

Niclas Boehmer, Martin Bullinger, Anna Maria Kerkmann

Comments Appears in the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023

Targets in Reinforcement Learning to solve Stackelberg Security Games

Saptarashmi Bandyopadhyay, Chenqi Zhu, Philip Daniel, Joshua Morrison, Ethan Shay, John Dickerson

Comments Appears in Proceedings of AAAI FSS-22 Symposium "Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA)"

An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning

Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad

Comments Accepted in the Student Abstract & Poster Presentation track at AAAI 2023. arXiv admin note: substantial text overlap with arXiv:2211.13718

Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR

Peishan Cong, Yiteng Xu, Yiming Ren, Juze Zhang, Lan Xu, Jingya Wang, Jingyi Yu, Yuexin Ma

Comments Accepted by AAAI 2023