AAAI

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following

Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, Hyeongu Yun, Yireun Kim, Minjoon Seo

Comments AAAI 2024

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

Comments Accepted for presentation at AAAI 2023. This is a technical report version that contains an appendix with additional details about experiments and proofs for technical results. Grant information is also added

XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning

Pritam Sarkar, Ali Etemad

Comments AAAI 2024

Solving PDE-constrained Control Problems Using Operator Learning

Rakhoon Hwang, Jae Yong Lee, Jin Young Shin, Hyung Ju Hwang

Comments 15 pages, 12 figures. Published as a conference paper at Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)

Revisiting graph neural networks and distance encoding from a practical view

Haoteng Yin, Yanbang Wang, Pan Li

Journal ref The 5th International Workshop on Deep Learning on Graphs (DLG-AAAI 2021)

Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold

Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang

Comments The 38th Annual AAAI Conference on Artificial Intelligence, AAAI 2024

Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Melanie Mitchell, Alessandro B. Palmarini, Arseny Moskvichev

Comments Corrected Figure 3 (extra spaces were replaced by commas, which were lost in original formatting)

Journal ref Proceedings of the LLM-CP Workshop, AAAI 2024

Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference

Hongda Sun, Hongzhan Lin, Rui Yan

Comments Accepted at AAAI 2024

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang

Comments Accepted to AAAI-2024

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

Federated Learning via Input-Output Collaborative Distillation

Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann

Comments Accepted at AAAI 2024

FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection

Dongmei Zhang, Chang Li, Ray Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang

Comments Accepted by AAAI 2024. Code will be released at https://github.com/dmzhang0425/FM-OV3D.git

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?

Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li

Comments AAAI 2024

The Fairness Fair: Bringing Human Perception into Collective Decision-Making

Hadi Hosseini

Comments To appear at AAAI Conference on Artificial Intelligence (AAAI) 2024

DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)

Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer

Comments Published as a conference paper at the 38th Annual AAAI Conference on Artificial Intelligence, Vancouver, 2024

NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views

Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu

Comments Accepted by AAAI 2024. Project page: https://alvin528.github.io/NeuSurf/

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh

Comments Accepted to AAAI 2024

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints

Shufan Wang, Guojun Xiong, Jian Li

Comments AAAI 2024

Future Aware Pricing and Matching for Sustainable On-demand Ride Pooling

Xianjie Zhang, Pradeep Varakantham, Hao Jiang

Comments 8 pages, 2 figures, published to AAAI-2023

Entropic Open-set Active Learning

Bardia Safaei, Vibashan VS, Celso M. de Melo, Vishal M. Patel

Comments Accepted in AAAI 2024

Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract)

Michał Maras, Michał Kępa, Jakub Kowalski, Marek Szykuła

Comments AAAI-24 Student Abstracts

Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering

Xiaowei Qian, Bingheng Li, Zhao Kang

Comments Accepted by AAAI 2024

Critic-Guided Decision Transformer for Offline Reinforcement Learning

Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao

Comments Accepted at AAAI 2024

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang

Comments Accepted by AAAI'2024

SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection

Yun Zhu, Le Hui, Yaqi Shen, Jin Xie

Comments Accepted by AAAI 2024

MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks

Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo

Comments Accepted by The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24)

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA

Chengen Lai, Shengli Song, Shiqi Meng, Jingyang Li, Sitong Yan, Guangneng Hu

Comments AAAI 2024

Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns

Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen

Comments Accepted to AAAI 2024

Fortify Your Defenses: Strategic Budget Allocation to Enhance Power Grid Cybersecurity

Rounak Meyur, Sumit Purohit, Braden K. Webb

Comments 8 pages, 8 figures, AICS workshop paper at the AAAI 2024 conference

Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity

Yiyue Chen, Haris Vikalo, Chianing Wang

Comments This work has been accepted at the 38th AAAI Conference on Artificial Intelligence (AAAI-24)

Towards Fair Graph Federated Learning via Incentive Mechanisms

Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang

Comments 15 pages, 4 figures, accepted by AAAI'24