AAAI

Considerations for End-User Development in the Caregiving Domain

Laura Stegner, David Porfirio, Mark Roberts, Laura M. Hiatt

Comments Presented at AAAI Fall Symposium Series 2023 UR-RAD

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure

Cheng Bian, Xiaoyu Li, Qi Bi, Guangpu Zhu, Jiegeng Lyu, Weile Zhang, Yelei Li, Zijing Zeng

Comments Accepted by AAAI-2024, main track

Large-Scale Multi-Robot Coverage Path Planning via Local Search

Jingtao Tang, Hang Ma

Comments Accepted to AAAI 2024

MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation

Yanzuo Lu, Meng Shen, Andy J Ma, Xiaohua Xie, Jian-Huang Lai

Comments Accepted by AAAI 2024 (Poster)

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Wei Xiang, Haoteng Yin, He Wang, Xiaogang Jin

Comments Accepted by AAAI'24

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates

Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

Comments Extended version (includes Supplementary Material). Accepted at AAAI 24 Main Track with Oral Presentation

Preference Ranking Optimization for Human Alignment

Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang

Comments Accepted by AAAI 2024

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen

Comments Accepted by AAAI 2024

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models

Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian

Comments Accepted in AAAI-24

ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis

Yuchen He, Zeqing Yuan, Yihong Wu, Liqi Cheng, Dazhen Deng, Yingcai Wu

Comments accepted by AAAI-24 Main Track

Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA

Wentao Mo, Yang Liu

Comments To be published in AAAI 24

Exploring Failure Cases in Multimodal Reasoning About Physical Dynamics

Sadaf Ghaffari, Nikhil Krishnaswamy

Comments 10 pages, 10 figures, Proceedings of AAAI Spring Symposium: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (MAKE). AAAI (2024)

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface

Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian McAuley, Zhankui He

Comments AAAI'24 Demo Track

Self-Supervised Pre-Training for Table Structure Recognition Transformer

ShengYun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

Comments AAAI'24 Workshop on Scientific Document Understanding Oral. arXiv admin note: text overlap with arXiv:2311.05565

Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency

Parian Haghighat, Denisa G'andara, Lulu Kang, Hadis Anahideh

Journal ref The 38th Annual AAAI Conference on Artificial Intelligence, 2024

From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges

Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su, Faez Ahmed, Biplav Srivastava

Comments Accepted for the Artificial Intelligence for Design Problems bridge program at AAAI 2024

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge

Comments This work has been accepted by AAAI-24

Regulating AI: Applying insights from behavioural economics and psychology to the application of article 5 of the EU AI Act

Huixin Zhong, Eamonn O'Neill, Janina A. Hoffmann

Comments This paper was accepted for publication by AAAI 2024 paper on December of 2023

Make Lossy Compression Meaningful for Low-Light Images

Shilv Cai, Liqun Chen, Sheng Zhong, Luxin Yan, Jiahuan Zhou, Xu Zou

Comments Accepted by AAAI 2024

Neural Causal Abstractions

Kevin Xia, Elias Bareinboim

Comments 48 total pages, 20 figures, short version accepted to AAAI-24

Federated Learning with Extremely Noisy Clients via Negative Distillation

Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang

Comments Accepted by AAAI 2024

Factored Online Planning in Many-Agent POMDPs

Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen

Comments Extended version (includes the Appendix) of the paper accepted at AAAI-24

Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs

Dongjin Lee, Juho Lee, Kijung Shin

Comments Published at AAAI 2024

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization

Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang

Comments Accepted by AAAI-24

Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration

Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon

Comments Accepted at AAAI-24 (The 38th AAAI Conference on Artificial Intelligence, February 2024)

How to Evaluate Behavioral Models

Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright

Comments 15 pages (7 pages body + references and appendix). To appear at AAAI 2024

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models

Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang

Comments Accepted at AAAI'24 | Project page: https://conceptbed.github.io

Zero-Sum Games between Large-Population Teams: Reachability-based Analysis under Mean-Field Sharing

Yue Guan, Mohammad Afshari, Panagiotis Tsiotras

Comments Published in AAAI 2024

Journal ref The 38th Annual AAAI Conference on Artificial Intelligence 2024

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams

Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda, Nancy Hitschfeld

Comments Accepted for presentation and poster on the 38th Annual AAAI Conference on Artificial Intelligence (AAAI24)

Data Science with LLMs and Interpretable Models

Sebastian Bordt, Ben Lengerich, Harsha Nori, Rich Caruana

Comments XAI4Sci Workshop at AAAI-24