AAAI

CALLIC: Content Adaptive Learning for Lossless Image Compression

Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao

Comments Accepted by AAAI 2025

Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance

Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng

Comments AAAI 2025 (with appendix)

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning

Huchen Jiang, Yangyang Ma, Chaofan Ding, Kexin Luan, Xinhan Di

Comments 6 Pages,3 figures, accepted by AAAI 2025 Workshop NeurMAD

Interweaving Memories of a Siamese Large Language Model

Xin Song, Zhikai Xue, Guoxiu He, Jiawei Liu, Wei Lu

Comments Accepted by AAAI 2025 Main Conference

FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation

Min Lin, Gangwei Xu, Yun Wang, Xianqi Wang, Xin Yang

Comments Accepted to AAAI 2025

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck

Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li

Comments Accepted by the Main Technical Track of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI-2025)

EcoSearch: A Constant-Delay Best-First Search Algorithm for Program Synthesis

Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde

Comments Extended version of AAAI 2025

Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding

Yueqian Wang, Xiaojun Meng, Yuxuan Wang, Jianxin Liang, Qun Liu, Dongyan Zhao

Comments Published at AAAI 2025

Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples

Taewoong Kim, Byeonghwi Kim, Jonghyun Choi

Comments AAAI 2025 (Project page: https://twoongg.github.io/projects/flare/)

Non-Convex Tensor Recovery from Local Measurements

Tongle Wu, Ying Sun, Jicong Fan

Comments The paper was accepted by AAAI 2025

Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction

Xuan Feng, Tianlong Gu, Xiaoli Liu, Liang Chang

Comments AAAI 2025

OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving

Tianyi Yan, Junbo Yin, Xianpeng Lang, Ruigang Yang, Cheng-Zhong Xu, Jianbing Shen

Comments AAAI 2025, https://yanty123.github.io/OLiDM

WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting

Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz

Comments 12 pages, 3 Figures, AAAI-2025

DCC: Differentiable Cardinality Constraints for Partial Index Tracking

Wooyeon Jo, Hyunsouk Cho

Comments 10 pages, 6 figures, AAAI 2025 (accepted, but not published)

SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning

Chamani Shiranthika, Hadi Hadizadeh, Parvaneh Saeedi, Ivan V. Bajić

Comments Accepted for paper presentation at the the 1st Workshop on Federated Learning for Unbounded and Intelligent Decentralization (FLUID), in AAAI 2025

SAIL: Sample-Centric In-Context Learning for Document Information Extraction

Jinyu Zhang, Zhiyuan You, Jize Wang, Xinyi Le

Comments accepted by AAAI 2025

FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos

Zhengqian Wu, Ruizhe Li, Zijun Xu, Zhongyuan Wang, Chunxia Xiao, Chao Liang

Comments Accepted by AAAI 2025

Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection

Jiangnan Yang, Shuangli Liu, Jingjun Wu, Xinyu Su, Nan Hai, Xueli Huang

Comments Accepted by AAAI 2025

NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors

Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin

Comments Accepted by AAAI 2025

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers

Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu

Comments 3 figures, 11 tables

Journal ref AAAI 2025

Out-of-Distribution Detection with Prototypical Outlier Proxy

Mingrong Gong, Chaoqi Chen, Qingqiang Sun, Yue Wang, Hui Huang

Comments The 39th Annual AAAI Conference on Artificial Intelligence

Parameterized Complexity of Caching in Networks

Robert Ganian, Fionn Mc Inerney, Dimitra Tsigkari

Comments A shorter version of this paper will appear in the proceedings of AAAI 2025

Effective and Efficient Representation Learning for Flight Trajectories

Shuo Liu, Wenbin Li, Di Yao, Jingping Bi

Comments Accepted by AAAI 2025

ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition

Seungdong Yoa, Seungjun Lee, Hyeseung Cho, Bumsoo Kim, Woohyung Lim

Comments Accepted to AAAI 2025

Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Harshit J Motwani, Maximilian Seeliger, Đorđe Žikelić

Comments Accepted at AAAI 2025

AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models

Tommy Nguyen, Mehmet Ergezer, Christian Green

Comments Accepted to The AAAI-25 Workshop on Artificial Intelligence for Cyber Security (AICS)

CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training

Xiuli Bi, Jian Lu, Bo Liu, Xiaodong Cun, Yong Zhang, Weisheng Li, Bin Xiao

Comments Accepted in AAAI 2025. Project Page: https://customttt.github.io/ Code: https://github.com/RongPiKing/CustomTTT

CareBot: A Pioneering Full-Process Open-Source Medical Language Model

Lulu Zhao, Weihao Zeng, Xiaofeng Shi, Hua Zhou

Comments Accept by AAAI 2025

Stitch Contrast and Segment_Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos

Haitao Tian, Pierre Payeur

Comments Accepted at AAAI 2025

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching

Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen

Journal ref AAAI 2025