AAAI

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data

Shuvendu Roy, Ali Etemad

Comments Accepted in AAAI Conference on Artificial Intelligence (AAAI-24)

Solving Richly Constrained Reinforcement Learning through State Augmentation and Reward Penalties

Hao Jiang, Tien Mai, Pradeep Varakantham, Minh Huy Hoang

Journal ref AAAI 2024

Domain Adaptation for Time series Transformers using One-step fine-tuning

Subina Khanal, Seshu Tirupathi, Giulio Zizzo, Ambrish Rawat, Torben Bach Pedersen

Comments Accepted at the Fourth Workshop of Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications, AAAI 2024, Vancouver, Canada

Exploring Diverse Representations for Open Set Recognition

Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu

Comments 9 pages, 4 figures. Accepted to AAAI 2024

Personalized Reinforcement Learning with a Budget of Policies

Dmitry Ivanov, Omer Ben-Porat

Comments Accepted to AAAI 2024. Code: https://github.com/dimonenka/RL_policy_budget

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang

Comments AAAI 2024

FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection

Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim

Comments Accepted to the 38th Annual AAAI Conference on Artificial Intelligence (AAAI24),Vancouver, British Columbia, 2024

Representation Learning for Wearable-Based Applications in the Case of Missing Data

Janosch Jungo, Yutong Xiang, Shkurta Gashi, Christian Holz

Comments Paper accepted in Human-Centric Representation Learning workshop at AAAI 2024 (https://hcrl-workshop.github.io/2024/)

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen

Comments Accepted to AAAI 2024

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks

Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan

Comments AAAI-23

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 37, 9 (Jun. 2023), 10464-10472

Learning Temporal Resolution in Spectrogram for Audio Classification

Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley

Comments Accepted by the 38th Annual AAAI Conference on Artificial Intelligence

Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making

Zhuoyan Li, Zhuoran Lu, Ming Yin

Comments AAAI 2024

Transferability of HRI Research: Potential and Challenges

Wafa Johal

Comments AAAI Spring Symposium 2023

Long-term Safe Reinforcement Learning with Binary Feedback

Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto

Comments Accepted to AAAI-24

Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks

Giordano Paoletti, Luca Gioacchini, Marco Mellia, Luca Vassio, Jussara M. Almeida

Comments Accepted at the 4th Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2024

Journal ref 4th Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2024

Robust Stochastic Graph Generator for Counterfactual Explanations

Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo

Comments Accepted in AAAI'24

UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation

Kefu Yi, Kai Luo, Xiaolei Luo, Jiangui Huang, Hao Wu, Rongdong Hu, Wei Hao

Comments Accepted to AAAI 2024

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

Comments v3 is the AAAI'24 camera ready version, which polished abstract and introduction based on the reviewers' comments, and enriched related works. 7 pages of main content, 2 pages of references, 2 figures and 1 table

Heterogeneous Value Alignment Evaluation for Large Language Models

Zhaowei Zhang, Ceyao Zhang, Nian Liu, Siyuan Qi, Ziqi Rong, Song-Chun Zhu, Shuguang Cui, Yaodong Yang

Comments v3 is the camera-ready version for AAAI-24 Workshop on Public Sector LLMs: Algorithmic and Sociotechnical Design. 7 pages of main content, 1 page of references, 3 pages of appendices, and 7 figures. Our full prompts are released in the repo: https://github.com/zowiezhang/HVAE

Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization

Xu Cai, Jonathan Scarlett

Comments AAAI-24

A Toolbox for Modelling Engagement with Educational Videos

Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela

Comments In Proceedings of AAAI Conference on Artificial Intelligence 2024. arXiv admin note: text overlap with arXiv:2309.11527

Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement

Yifeng Wang, Yi Zhao

Comments Accepted by AAAI 2024 - Association for the Advancement of Artificial Intelligence

Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics

Xueyuan Yang, Chao Yao, Xiaojuan Ban

Comments Accepted by AAAI 2024

Controllable 3D Face Generation with Conditional Style Code Diffusion

Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang

Comments Accepted by AAAI 2024

Compositional Inversion for Stable Diffusion Models

Xulu Zhang, Xiao-Yong Wei, Jinlin Wu, Tianyi Zhang, Zhaoxiang Zhang, Zhen Lei, Qing Li

Comments This paper was accepted by AAAI 2024

To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu

Comments Accepted by AAAI Spring Symposium on AI Trustworthiness Assessment 2023. Published in AI and Ethics Journal https://link.springer.com/article/10.1007/s43681-023-00398-y

Inconsistency-Based Data-Centric Active Open-Set Annotation

Ruiyu Mao, Ouyang Xu, Yunhui Guo

Comments AAAI 2024

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark

Fangjun Li, David C. Hogg, Anthony G. Cohn

Comments Camera-Ready version for AAAI 2024

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart

Comments 7 pages, 2 figures. To appear at AAAI 2024

Improving Automatic VQA Evaluation Using Large Language Models

Oscar Mañas, Benno Krojer, Aishwarya Agrawal

Comments Accepted at AAAI 2024 (main track)