AAAI

Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies

Jeehong Kim, Minchan Kim, Jaeseong Ju, Youngseok Hwang, Wonhee Lee, Hyunwoo Park

Comments Anomaly Detection in Scientific Domains AAAI Workshop

Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning

Karl Elbakian, Samuel Carton

Comments 9 pages, 8 figures, Accepted to AAAI 2025 Main Conference (AI Alignment Track)

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models

Daewon Chae, June Suk Choi, Jinkyu Kim, Kimin Lee

Comments AAAI 2025

Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks

Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato

Comments Accepted to AAAI 2025

Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios

Ruolin Wang, Yuejiao Xu, Jianmin Ji

Comments Accepted by AAAI 2025. 8 pages of main text, 19 pages of technical appendix

Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class

Annie D'souza, Swetha M, Sunita Sarawagi

Comments AAAI Conference 2025

LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs

Kihyuk Yoon, Chiehyeon Lim

Comments 7 pages, 5 figures, 4 tables except acknowledge, reference, and appendix. Accepted for the main track of AAAI 25

Fake It Till You Make It: Using Synthetic Data and Domain Knowledge for Improved Text-Based Learning for LGE Detection

Athira J Jacob, Puneet Sharma, Daniel Rueckert

Comments Poster at Workshop on Large Language Models and Generative AI for Health at AAAI 2025

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling

Jinzong Dong, Zhaohui Jiang, Dong Pan, Haoyang Yu

Comments Accepted by AAAI-25

Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning

Toyotaro Suzumura, Hiroki Kanezashi, Shotaro Akahori

Comments Accepted AAAI W3PHIAI-25 Workshop

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

Comments Accepted to AAAI 2025 (Oral)

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks

Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao

Comments Accepted to AAAI 2025

Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad

Comments This paper is accepted in AAAI'25", and the code is available at https://bnn-bella.github.io/BNN-Bella/

Learning More Expressive General Policies for Classical Planning Domains

Simon Ståhlberg, Blai Bonet, Hector Geffner

Comments Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification

Vinzenz Thoma, Vitor Bosshard, Sven Seuken

Comments This paper has been accepted for publication at AAAI 2025 and will appear in the conference proceedings

Human and AI Perceptual Differences in Image Classification Errors

Minghao Liu, Jiaheng Wei, Yang Liu, James Davis

Comments AAAI 25 Oral

Journal ref Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25). 2025. Association for the Advancement of Artificial Intelligence

Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels

Benedikt Brückner, Alessio Lomuscio

Comments AAAI 2025

On shallow planning under partial observability

Randy Lefebvre, Audrey Durand

Comments Accepted at AAAI 2025

LLM-driven Knowledge Distillation for Dynamic Text-Attributed Graphs

Amit Roy, Ning Yan, Masood Mortazavi

Comments Accepted at the AI4TS: AI for Time Series Analysis workshop, AAAI 2025

Multiple Approaches for Teaching Responsible Computing

Stacy A. Doore, Michelle Trim, Joycelyn Streator, Richard L. Blumenthal, Atri Rudra, Robert B. Schnabel

Comments This work was done as part of ACM/IEEE-CS/AAAI Computer Science Curricula 2023 (csed.acm.org)

AI Guide Dog: Egocentric Path Prediction on Smartphone

Aishwarya Jadhav, Jeffery Cao, Abhishree Shetty, Urvashi Priyam Kumar, Aditi Sharma, Ben Sukboontip, Jayant Sravan Tamarapalli, Jingyi Zhang, Anirudh Koul

Comments Accepted at the AAAI 2025 Spring Symposium on Human-Compatible AI for Well-being: Harnessing Potential of GenAI for AI-Powered Science

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction

Jingheng Ye, Shang Qin, Yinghui Li, Xuxin Cheng, Libo Qin, Hai-Tao Zheng, Ying Shen, Peng Xing, Zishan Xu, Guo Cheng, Wenhao Jiang

Comments Accepted to AAAI 2025. 19 pages with an appendix, 10 tables, and 9 figures

GLAD: Improving Latent Graph Generative Modeling with Simple Quantization

Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis

Comments AAAI 2025 (Previously accepted at SPIGM ICML 2024 workshop)

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings

Michael Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken

Comments Published at the Thirty-Eighth Proceedings of the AAAI Conference on Artificial Intelligence 2024

A Spatiotemporal Approach to Tri-Perspective Representation for 3D Semantic Occupancy Prediction

Sathira Silva, Savindu Bhashitha Wannigama, Gihan Jayatilaka, Muhammad Haris Khan, Roshan Ragel

Comments Accepted to the 2025 Workshop on Machine Learning for Autonomous Driving at AAAI

Protecting Model Adaptation from Trojans in the Unlabeled Data

Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

Comments AAAI 2025

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations

Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han

Comments AAAI 2025

REGNav: Room Expert Guided Image-Goal Navigation

Pengna Li, Kangyi Wu, Jingwen Fu, Sanping Zhou

Comments Accepted by AAAI 2025 Oral

CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning

Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu

Comments Accepted by the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering

Nick Ferguson, Liane Guillou, Alan Bundy, Kwabena Nuamah

Comments 8 pages. Accepted to the Workshop on Planning in the Era of LLMs (LM4Plan @ AAAI 2025)