AAAI

Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions

Sankalp Gilda

Comments 6 pages + 1 reference page. Accepted to the 3rd AI2ASE workshop at AAAI 2024 (Vancouver, BC, Canada)

Journal ref Astronomy 2024, 3, 14-20

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

Haochong Xia, Shuo Sun, Xinrun Wang, Bo An

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

Detecting and Preventing Hallucinations in Large Vision Language Models

Anisha Gunjal, Jihan Yin, Erhan Bas

Comments AAAI 2024

STERLING: Synergistic Representation Learning on Bipartite Graphs

Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong

Comments Accepted by AAAI'2024

RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization

Ce Feng, Parv Venkitasubramaniam

Comments This work is accepted by the 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence

An Exercise in Tournament Design: When Some Matches Must Be Scheduled

Sushmita Gupta, M. S. Ramanujan, Peter Strulo

Comments Full version of AAAI 2024 paper

Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions

Bianca-Mihaela Ganescu, Jonathan Passerat-Palmbach

Comments Accepted at PPAI-24: The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence 2024

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang

Journal ref AAAI 2024

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms

Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar

Comments Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 11(1), 65-76. Best Paper Award

Rethinking Propagation for Unsupervised Graph Domain Adaptation

Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu

Comments Accepted by AAAI-24

Learning Uncertainty-Aware Temporally-Extended Actions

Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan Oh

Comments Accepted in AAAI 2024 (Main Technical Track)

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

Junghun Cha, Ali Haider, Seoyun Yang, Hoeyeong Jin, Subin Yang, A. F. M. Shahab Uddin, Jaehyoung Kim, Soo Ye Kim, Sung-Ho Bae

Comments Accepted to AAAI 2024

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen

Hao Zhang, Fang Li, Lu Qi, Ming-Hsuan Yang, Narendra Ahuja

Comments Accepted by AAAI 2024

Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game

Philipp Sadler, Sherzod Hakimov, David Schlangen

Comments Work presented at the "Cooperative Multi-Agent Systems Decision-making and Learning" workshop (AAAI'24)

GSN: Generalisable Segmentation in Neural Radiance Field

Vinayak Gupta, Rahul Goel, Sirikonda Dhawal, P. J. Narayanan

Comments Accepted at the Main Technical Track of AAAI 2024

VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation

Jialu Li, Aishwarya Padmakumar, Gaurav Sukhatme, Mohit Bansal

Comments AAAI 2024

Factorized Explainer for Graph Neural Networks

Rundong Huang, Farhad Shirani, Dongsheng Luo

Comments AAAI 24

NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs

Sihwa Park, Seongjun Kim, Doeyoung Kwon, Yohan Jang, In-Seok Song, Seung Jun Baek

Comments 18 pages, 16 figures, Accepted to AAAI 2024

Low-Distortion Clustering with Ordinal and Limited Cardinal Information

Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs, Matteo Russo, Chris Schwiegelshohn, Sudarshan Shyam

Comments to appear in AAAI 2024

Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping

Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song

Comments AAAI 2024

Neural Network Approximators for Marginal MAP in Probabilistic Circuits

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

Comments Will appear in AAAI 2024

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning

Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang

Comments 10 pages, full version of this paper is accepted by AAAI'24

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models

Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu

Comments Accepted to AAAI 2024 (preprint)

K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries

Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayanan, Manas Gaur

Comments Accepted at AAAI 2024 Spring Symposium Series

Toward a Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency

Pavlos Constas, Vikram Rawal, Matthew Honorio Oliveira, Andreas Constas, Aditya Khan, Kaison Cheung, Najma Sultani, Carrie Chen, Micol Altomare, Michael Akzam, Jiacheng Chen, Vhea He, Lauren Altomare, Heraa Murqi, Asad Khan, Nimit Amikumar Bhanshali, Youssef Rachad, Michael Guerzhoy

Comments In Proc. Machine Learning for Cognitive and Mental Health Workshop (ML4CMH) at AAAI 2024

Algorithms and Complexity of Difference Logic

Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

Comments This is an strongly extended version of two conference papers with the same authors that appeared at KR 2020 (Title: Fine-Grained Complexity of Temporal Problems) and AAAI 2021 (Title: Disjunctive Temporal Problems under Structural Restrictions)

Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing

Shreyas V, Swati Agarwal

Comments Published at 3rd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE)

Hierarchical Multi-Label Classification of Online Vaccine Concerns

Chloe Qinyu Zhu, Rickard Stureborg, Bhuwan Dhingra

Comments Published in AAAI 2024 Health Intelligence workshop

Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education

Zhonghao Shi, Allison O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi, Guy Hoffman, Mohammad Soleymani, Maja J. Matarić

Comments Accepted to the Proceedings of the AAAI Conference on Artificial Intelligence (2024)

ContactGen: Contact-Guided Interactive 3D Human Generation for Partners

Dongjun Gu, Jaehyeok Shim, Jaehoon Jang, Changwoo Kang, Kyungdon Joo

Comments Accepted by AAAI 2024