AAAI

Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data

Pratik Karmakar, Debabrota Basu

Comments Presented in the Privacy-Preserving AI (PPAI) workshop at AAAI 2023 as a spotlight talk and published in NeurIPS 2023

Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature

Kevin Osanlou, Christophe Guettier, Tristan Cazenave, Eric Jacopin

Comments AAAI-format & updated

Topological Distance Games

Martin Bullinger, Warut Suksompong

Comments Appears in the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023

Journal ref Theoretical Computer Science, 981:114238 (2024)

Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work

Khawar Islam

Comments Added AAAI 2022 methods and working on ICLR 2022 methods and ICML 2022

NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs

Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan

Comments Accepted by AAAI 2023

Journal ref AAAI 2023

DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing

Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan

Comments Accepted by AAAI 2023

Journal ref AAAI 2023

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?

Weina Jin, Xiaoxiao Li, Ghassan Hamarneh

Comments AAAI 2022

Computing Pareto-Optimal and Almost Envy-Free Allocations of Indivisible Goods

Jugal Garg, Aniket Murhekar

Comments 23 pages. A preliminary version appeared at AAAI 2021

Quantum Machine Learning in Climate Change and Sustainability: a Review

Amal Nammouchi, Andreas Kassler, Andreas Theorachis

Comments 8 pages Accepted for publication in AAAI proceedings (AAAI Fall symposium 2023)

Computing Divergences between Discrete Decomposable Models

Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb

Comments 13 pages, 4 Figures, 3 Tables. Accepted to the 37th AAAI Conference on Artificial Intelligence (AAAI 2023)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 37, 10 (Jun. 2023), 12243-12251

Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences

Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang

Comments Accepted by AAAI 2023(Oral)

Atom-Motif Contrastive Transformer for Molecular Property Prediction

Wentao Yu, Shuo Chen, Chen Gong, Gang Niu, Masashi Sugiyama

Comments submit to AAAI-24

Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling

Clay H. Yoo, Ashiqur R. KhudaBukhsh

Comments This paper has been accepted at AAAI 2023 (Robust and Safe AI track)

Low Emission Building Control with Zero-Shot Reinforcement Learning

Scott R. Jeen, Alessandro Abate, Jonathan M. Cullen

Comments Accepted at AAAI 2023. Code available via https://enjeeneer.io/projects/pearl/

Exploiting Language Models as a Source of Knowledge for Cognitive Agents

James R. Kirk, Robert E. Wray, John E. Laird

Comments 9 pages, 4 figures, 2 tables. AAAI FSS on Integrating Cognitive Architecture and Generative Models

Forgetful Large Language Models: Lessons Learned from Using LLMs in Robot Programming

Juo-Tung Chen, Chien-Ming Huang

Comments 9 pages ,8 figures, accepted by the AAAI 2023 Fall Symposium Series

Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?

Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao 'Kenneth' Huang, Dongwon Lee

Comments Accepted at The 11th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023)

Mathematical Runtime Analysis for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)

Weijie Zheng, Benjamin Doerr

Comments Journal version of the paper "Weijie Zheng, Yufei Liu, Benjamin Doerr: A First Mathematical Runtime Analysis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). AAAI 2022. arXiv:2112.08581v3"

Journal ref Artificial Intelligence 325 (2023), 104016

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Yun Hu

Journal ref AAAI 2023

Defending Against Backdoor Attacks in Natural Language Generation

Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang

Comments To appear at AAAI 2023

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation

Qiran Zou, Yu Yang, Wing Yin Cheung, Chang Liu, Xiangyang Ji

Comments Accepted by AAAI 2023 (Oral). Code: https://github.com/qrzou/ILSGAN

Losses over Labels: Weakly Supervised Learning via Direct Loss Construction

Dylan Sam, J. Zico Kolter

Comments 13 pages, 3 figures, AAAI 2023

Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling

Lucas Berry, David Meger

Comments Accepted at AAAI 2023 (https://ojs.aaai.org/index.php/AAAI/article/view/25834)

Ground Manipulator Primitive Tasks to Executable Actions using Large Language Models

Yue Cao, C. S. George Lee

Comments AAAI Fall Symposium on Unifying Representations for Robot Application Development, Arlington, VA, 2023

Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes

Shreyash Mishra, S Suryavardan, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Reganti, Aman Chadha, Amitava Das, Amit Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar

Comments Defactify2 @AAAI

Towards Robust Metrics for Concept Representation Evaluation

Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik

Comments To appear at AAAI 2023

Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis

Oscar J. Romero, John Zimmerman, Aaron Steinfeld, Anthony Tomasic

Comments AAAI 2023 Fall Symposium

SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers

Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari

Journal ref Vol. 37 No. 8: AAAI-2023 Technical Tracks 8

Entropy-based Logic Explanations of Neural Networks

Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci

Journal ref In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36, No. 6, pp. 6046-6054, 2022

QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers

Daniel Silver, Tirthak Patel, Devesh Tiwari

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 2022, 36(8), 8324-8332