AAAI

Temporal Graph Networks for Graph Anomaly Detection in Financial Networks

Yejin Kim, Youngbin Lee, Minyoung Choe, Sungju Oh, Yongjae Lee

Comments Presented at the AAAI 2024 Workshop on AI in Finance for Social Impact (https://sites.google.com/view/aifin-aaai2024)

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

Agniva Chowdhury, Pradeep Ramuhalli

Comments Published in the proceedings of AAAI 2024

Learning the Topology and Behavior of Discrete Dynamical Systems

Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns, Anil Vullikanti

Comments Accepted at AAAI-24

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers

Yuhao Yi, Ronghui You, Hong Liu, Changxin Liu, Yuan Wang, Jiancheng Lv

Comments 17 pages, 4 figures. Accepted by the 38th Annual AAAI Conference on Artificial Intelligence (AAAI'24)

Journal ref AAAI 2024, 38, 16469-16477

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu

Comments 14 pages, 3 figures. Accepted to AAAI 2024

A New Benchmark and Model for Challenging Image Manipulation Detection

Zhenfei Zhang, Mingyang Li, Ming-Ching Chang

Comments 9 pages, 6 figures, 3 tabels. AAAI-24

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan

Comments Accepted to AAAI 2024 main track with oral presentation; Supplemental material appended to main paper

Journal ref AAAI 2024, 38(14), 15915-15923,

Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes

Quang Truong, Peter Chin

Comments AAAI'24. Contains 17 pages, 4 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15382-15391, 2024

Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems

Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns, Anil Vullikanti

Comments Accepted at AAAI-22

Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence

Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns, Anil Vullikanti

Comments Accepted at AAAI-23

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

Xiang Wei, Alan J. X. Guo, Sihan Sun, Mengyi Wei, Wei Yu

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, (2024) 38(14), 15796-15804

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data

Xin Zou, Weiwei Liu

Journal ref AAAI (2024) Vol. 38, No. 15, pages 17263-17270

Keeping Up With the Winner! Targeted Advertisement to Communities in Social Networks

Shailaja Mallick, Vishwaraj Doshi, Do Young Eun

Comments To appear in the Proceedings of AAAI ICWSM 2024

New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem

Koji Ichikawa, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

Comments Accepted by AAAI 2024

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 38 (2024) 12708-12716

Graph Bayesian Optimization for Multiplex Influence Maximization

Zirui Yuan, Minglai Shao, Zhiqian Chen

Comments Proceedings of the AAAI Conference on Artificial Intelligence, 2024

BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

Zhaochen Liu, Zhixuan Li, Tingting Jiang

Comments Accepted to AAAI 2024

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 38, 4 (Mar. 2024), 3846-3854

Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm

Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou, Theocharis Theocharides

Comments To be published in AAAI 2024, 11 pages, 7 figures

Appeal: Allow Mislabeled Samples the Chance to be Rectified in Partial Label Learning

Chongjie Si, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen

Comments Under review. An extended version of 2024 AAAI oral paper "Partial Label Learning with a Partner"

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield, Jonah Meyerhoff, Ananya Bhattacharjee, Chris Karr, Theresa Nguyen, David Mohr, Anna Rafferty, Sofia Villar, Nina Deliu, Joseph Jay Williams

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence (IAAI) 2024

Machine Learning-Powered Combinatorial Clock Auction

Ermis Soumalias, Jakob Weissteiner, Jakob Heiss, Sven Seuken

Comments AAAI 2024 (8 pages + appendix)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(9) (2024) 9891-9900

UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding

Chenpeng Du, Yiwei Guo, Feiyu Shen, Zhijun Liu, Zheng Liang, Xie Chen, Shuai Wang, Hui Zhang, Kai Yu

Comments Accepted to AAAI 2024

Physics-Informed Graph Neural Networks for Water Distribution Systems

Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer

Comments Extended version of the paper with the same title published at Proceedings of the AAAI Conference on Artificial Intelligence 2024

Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions

Julien Guité-Vinet, Alexandre Blondin Massé, Fatiha Sadat

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23508-23509,2024

For those who don't know (how) to ask: Building a dataset of technology questions for digital newcomers

Evan Lucas, Kelly S. Steelman, Leo C. Ureel, Charles Wallace

Comments Presented at the AI4ED workshop at AAAI 2024

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning

Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada

Comments Accepted at AAAI 2024: The 38th Annual AAAI Conference on Artificial Intelligence (Main Tech Track)

BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning

Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan

Comments Accepted by AAAI 2023, Oral

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning

Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin

Comments Accepted in AAAI 2024

Knowledge-Powered Recommendation for an Improved Diet Water Footprint

Saurav Joshi, Filip Ilievski, Jay Pujara

Comments 3 pages, 1 figure, AAAI'24

Boosting Few-Shot Learning via Attentive Feature Regularization

Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He

Comments Accepted to AAAI 2024

Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification

Minghui Liao, Guojia Wan, Bo Du

Comments Accepted by AAAI 2024