AAAI

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks

Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng

Comments AAAI 2025

Unlocking the Potential of Reverse Distillation for Anomaly Detection

Xinyue Liu, Jianyuan Wang, Biao Leng, Shuo Zhang

Comments 18 pages, 14 figures, AAAI 2025

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models

Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang

Comments AAAI 2025; Pre-print

StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching

Jixun Yao, Yuguang Yang, Yu Pan, Ziqian Ning, Jiaohao Ye, Hongbin Zhou, Lei Xie

Comments Accepted by AAAI 2025

Detecting and Corrupting Convolution-based Unlearnable Examples

Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang

Comments AAAI 2025

Number Theoretic Accelerated Learning of Physics-Informed Neural Networks

Takashi Matsubara, Takaharu Yaguchi

Journal ref AAAI Conference on Artificial Intelligence (AAAI), 2025

Bidirectional Human-AI Learning in Real-Time Disoriented Balancing

Sheikh Mannan, Nikhil Krishnaswamy

Comments 3 pages, 2 figures, appearing at AAAI 2025 demos track

Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement

Derek Palmer, Yifan Zhu, Kenneth Lai, Hannah VanderHoeven, Mariah Bradford, Ibrahim Khebour, Carlos Mabrey, Jack Fitzgerald, Nikhil Krishnaswamy, Martha Palmer, James Pustejovsky

Comments 3 pages, 2 figures, appearing at AAAI 2025 Demos Track

TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection

Jiankang Chen, Tong Zhang, Wei-Shi Zheng, Ruixuan Wang

Comments 10 pages, 4 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2024

AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction

Tianlong Xu, Yi-Fan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen

Comments AAAI/IAAI 2025 Innovative Application Award

Cognitive Architecture Toward Common Ground Sharing Among Humans and Generative AIs: Trial on Model-Model Interactions in Tangram Naming Task

Junya Morita, Tatsuya Yui, Takeru Amaya, Ryuichiro Higashinaka, Yugo Takeuchi

Comments Proceedings of the 2023 AAAI Fall Symposium on Integrating Cognitive Architectures and Generative Models

Journal ref Proceedings of the 2023 AAAI Fall Symposia, vol.2, no. 1, 2023

Measuring and Forecasting Conversation Incivility: the Role of Antisocial and Prosocial Behaviors

Xinchen Yu, Hayden Arnold, Benjamin Su, Eduardo Blanco

Comments The 19th International AAAI Conference on Web and Social Media (ICWSM 2025) Accepted

Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning

Zeki Doruk Erden, Boi Faltings

Comments Presented in Deployable AI (DAI) workshop at AAAI-2024

What Do Machine Learning Researchers Mean by "Reproducible"?

Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris

Comments To appear in AAAI 2025, Senior Member Presentation Track

RLLTE: Long-Term Evolution Project of Reinforcement Learning

Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng

Comments Proceedings of the AAAI Conference on Artificial Intelligence, 2025

One Step Learning, One Step Review

Xiaolong Huang, Qiankun Li, Xueran Li, Xuesong Gao

Comments Published at the 38th AAAI Conference on Artificial Intelligence (AAAI 2024)

Practical Parallel Algorithms for Non-Monotone Submodular Maximization

Shuang Cui, Kai Han, Jing Tang, Xueying Li, Aakas Zhiyuli, Hanxiao Li

Comments Part of the contribution appears in AAAI-2023

Learning Visual Abstract Reasoning through Dual-Stream Networks

Kai Zhao, Chang Xu, Bailu Si

Comments 10 pages, 6 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(15), 16979-16988

ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery

Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu

Comments Accepted paper for the AI for Social Impact Track at the AAAI 2022

How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law

Benjamin Fresz, Elena Dubovitskaya, Danilo Brajovic, Marco Huber, Christian Horz

Journal ref Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (2024), 7(1), 438-450

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya, Aniket Bera

Comments 11 pages, 7 figures, 3 tables. To appear as part of the proceedings of the 38th Annual AAAI Conference on Artificial Intelligence, 2024

Journal ref In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence, 2024, Vancouver, Canada

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha

Comments 11 pages, 7 figures, 1 table

Journal ref In Proceedings of the 34th Annual AAAI Conference on Artificial Intelligence, 2020, 34(02), 1342-1350

Generating Universal Adversarial Perturbations for Quantum Classifiers

Gautham Anil, Vishnu Vinod, Apurva Narayan

Comments Accepted at AAAI 2024

Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance

Adrian Arnaiz-Rodriguez, Georgina Curto, Nuria Oliver

Comments Accepted at International AAAI Conference on Web and Social Media (ICWSM) 2025. Please cite accordingly

The Peripatetic Hater: Predicting Movement Among Hate Subreddits

Daniel Hickey, Daniel M. T. Fessler, Kristina Lerman, Keith Burghardt

Comments 18 pages, 13 figures. Accepted to the Proceedings of the International AAAI Conference on Web and Social Media 2025

LoRA Unlearns More and Retains More (Student Abstract)

Atharv Mittal

Comments AAAI-25 Student Abstract

Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling

Rongxin Ouyang, Kokil Jaidka, Subhayan Mukerjee, Guangyu Cui

Comments AAAI-25 Student Abstract, Oral Presentation

A Benchmark for Cross-Domain Argumentative Stance Classification on Social Media

Jiaqing Yuan, Ruijie Xi, Munindar P. Singh

Comments Accepted by AAAI ICWSM 2025

LLMs and Memorization: On Quality and Specificity of Copyright Compliance

Felix B Mueller, Rebekka Görge, Anna K Bernzen, Janna C Pirk, Maximilian Poretschkin

Comments 10 pages, 3 figures, AIES 2024 conference

Journal ref Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), 984-996, 2024

How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries

Somnath Banerjee, Sayan Layek, Rima Hazra, Animesh Mukherjee

Comments Accepted at AAAI Conference on Web and Social Media (ICWSM) 2025. [Dataset](https://huggingface.co/datasets/SoftMINER-Group/TechHazardQA)