AAAI

CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System

Ayan Banerjee, Aranyak Maity, Payal Kamboj, Sandeep K. S. Gupta

Comments Accepted for publication in AAAI 2024, Planning for Cyber Physical Systems

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Jihyeon Seong, Jungmin Kim, Jaesik Choi

Comments 17 pages, 9 figures

Journal ref AAAI 2024

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective

Zhen Qin, Feiyi Chen, Chen Zhi, Xueqiang Yan, Shuiguang Deng

Comments Accepted by AAAI 2024. Codes are publicly available at https://github.com/zhenqincn/Snowball

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu

Comments Accepted by AAAI-24

Journal ref AAAI 2024, 38, 11936-11943

A Theory of Non-Acyclic Generative Flow Networks

Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Shangling Jui, Lizhuang Ma

Comments 16 pages, 8 figures, 1 table, AAAI 2024

Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales

Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Yongsik Sim, Beomseok Sohn, Dongha Lee, Jinyoung Yeo

Comments Accepted to AAAI 2024

Offline Model-Based Optimization via Policy-Guided Gradient Search

Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa

Comments Published at AAAI Conference on Artificial Intelligence, 2024

MFA-Net: Multi-Scale feature fusion attention network for liver tumor segmentation

Yanli Yuan, Bingbing Wang, Chuan Zhang, Jingyi Xu, Ximeng Liu, Liehuang Zhu

Comments Paper accepted in Human-Centric Representation Learning workshop at AAAI 2024

Physics-Informed Representation and Learning: Control and Risk Quantification

Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira

Comments Accepted at the AAAI 24 conference

Towards Continual Knowledge Graph Embedding via Incremental Distillation

Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu

Comments Accepted by AAAI 2024

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing

Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Comments Accepted to AAAI 2024

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer

Comments 9 pages, 7 figures, AAAI-24

Journal ref AAAI, vol. 38, no. 10, pp. 11766-11774, Mar. 2024

DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning

Chao Liu, Ting Zhao, Nenggan Zheng

Comments 10 pages, 6 figures, AAAI 2024 accepted

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning

Qian Long, Fangwei Zhong, Mingdong Wu, Yizhou Wang, Song-Chun Zhu

Comments AAAI 2024 Cooperative Multi-Agent Systems Decision-Making and Learning (CMASDL) Workshop

The Psychosocial Impacts of Generative AI Harms

Faye-Marie Vassel, Evan Shieh, Cassidy R. Sugimoto, Thema Monroe-White

Comments Presented in Impact of GenAI on Social and Individual Well-being at AAAI 2024 Spring Symposium Series (2024)

ESG Accountability Made Easy: DocQA at Your Service

Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter Staar

Comments Accepted at the Demonstration Track of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 24)

Journal ref AAAI 2024, 38, 23814-23816

Knowledge-Based Counterfactual Queries for Visual Question Answering

Theodoti Stoikou, Maria Lymperaiou, Giorgos Stamou

Journal ref AAAI MAKE 2023

The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges

Maria Lymperaiou, Giorgos Stamou

Journal ref AAAI MAKE 2023

Fine-Grained ImageNet Classification in the Wild

Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou

Journal ref AAAI MAKE 2023

Counterfactual Edits for Generative Evaluation

Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas, Giorgos Stamou

Journal ref AAAI MAKE 2023

AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning

Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

Comments 14 pages, 8 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023). Vol. 37. No. 9. 2023

Structured Probabilistic Coding

Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu

Comments 11 pages, accepted by AAAI 2024 (Oral)

Project RISE: Recognizing Industrial Smoke Emissions

Yen-Chia Hsu, Ting-Hao 'Kenneth' Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Jessica Pachuta, Randy Sargent, Illah Nourbakhsh

Comments Accepted by AAAI 2021

Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering

Shouheng Li, Dongwoo Kim, Qing Wang

Comments 13 pages, 9 figures, AAAI 2023

Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning

Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(19): 21359-21367

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security

Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

Comments Published at AAAI 2021. 9 pages (paper and references), 3 page appendix. 6 figures and 1 table

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology

Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina V. Hoebel, Mason Cleveland, Syed Rakin Ahmed, Elizabeth Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge, Albert E. Kim

Comments Paper accepted at the First Workshop on Imageomics (Imageomics-AAAI-24) - Discovering Biological Knowledge from Images using AI (https://sites.google.com/vt.edu/imageomics-aaai-24/home), held as part of the 38th Annual AAAI Conference on Artificial Intelligence (https://aaai.org/aaai-conference/)

Concept-Guided LLM Agents for Human-AI Safety Codesign

Florian Geissler, Karsten Roscher, Mario Trapp

Comments 5 pages

Journal ref Proceedings of the AAAI-make Spring Symposium, 2024

Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification

Jimmy Lin, Junkai Li, Jiasi Gao, Weizhi Ma, Yang Liu

Comments Accepted by AAAI 2024

Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches

Clément Christophe, Praveen K Kanithi, Prateek Munjal, Tathagata Raha, Nasir Hayat, Ronnie Rajan, Ahmed Al-Mahrooqi, Avani Gupta, Muhammad Umar Salman, Gurpreet Gosal, Bhargav Kanakiya, Charles Chen, Natalia Vassilieva, Boulbaba Ben Amor, Marco AF Pimentel, Shadab Khan

Comments Published at AAAI 2024 Spring Symposium - Clinical Foundation Models