AAAI

User Tampering in Reinforcement Learning Recommender Systems

Charles Evans, Atoosa Kasirzadeh

Comments In proceedings of the 6th AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES '23)

Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness

Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang

Comments To appear at AIES 2023

Journal ref 2023 AAAI/ACM Conference on AI, Ethics, and Society

Markov Decision Processes with Time-Varying Geometric Discounting

Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic

Comments 24 pages, 3 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 37(10) (2023) 11980-11988

Tracking Fringe and Coordinated Activity on Twitter Leading Up To the US Capitol Attack

Vishnuprasad Padinjaredath Suresh, Gianluca Nogara, Felipe Cardoso, Stefano Cresci, Silvia Giordano, Luca Luceri

Comments 11 pages (including references), 8 figures, 1 table. Accepted at The 18th International AAAI Conference on Web and Social Media

Journal ref Proceedings of the 18th International Conference on Web and Social Media, 2024

The Unreasonable Effectiveness of Deep Evidential Regression

Nis Meinert, Jakob Gawlikowski, Alexander Lavin

Comments 11 pages, 25 figures

Journal ref AAAI, vol. 37, no. 8, pp. 9134-9142, Jun. 2023

Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing

Vinayak Gupta, Srikanta Bedathur, Abir De

Comments Extended version of Gupta et al. [arXiv:2202.11485] (AAAI 2022). Under review in a journal

Motion-Attentive Transition for Zero-Shot Video Object Segmentation

Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao

Comments AAAI 2020. Code: https://github.com/tfzhou/MATNet

Convolutional Hierarchical Attention Network for Query-Focused Video Summarization

Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang

Comments Accepted by AAAI 2020 Conference

Elementary Sets for Logic Programs

Martin Gebser, Joohyung Lee, Yuliya Lierler

Comments 6 pages. AAAI 2006, 244-249. arXiv admin note: substantial text overlap with arXiv:1012.5847

Gender mobility in the labor market with skills-based matching models

Ajaya Adhikari, Steven Vethman, Daan Vos, Marc Lenz, Ioana Cocu, Ioannis Tolios, Cor J. Veenman

Comments This paper was presented during the AAAI Spring Symposium 2023 (AI Trustworthiness Assessment (AITA) track)

A Neural Span-Based Continual Named Entity Recognition Model

Yunan Zhang, Qingcai Chen

Comments Accepted by AAAI'23 (Update to official format)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 11, June 2023, pp. 13993-01

Lived Experience Matters: Automatic Detection of Stigma on Social Media Toward People Who Use Substances

Salvatore Giorgi, Douglas Bellew, Daniel Roy Sadek Habib, Garrick Sherman, Joao Sedoc, Chase Smitterberg, Amanda Devoto, McKenzie Himelein-Wachowiak, Brenda Curtis

Comments Accepted for publication the 2024 International AAAI Conference on Web and Social Media (ICWSM)

On Grounded Planning for Embodied Tasks with Language Models

Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren

Comments Accepted to AAAI 2023 Project website: https://yuchenlin.xyz/g-planet/

On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations

Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni

Comments Accepted at AIES 2023

Journal ref AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

Typology of Risks of Generative Text-to-Image Models

Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh

Comments Accepted for publication in 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES 2023)

The Ethical Implications of Generative Audio Models: A Systematic Literature Review

Julia Barnett

Comments In proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES '23). 10 pages, 1 figure

Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations

Jiahang Zhang, Lilang Lin, Jiaying Liu

Comments Accepted by AAAI 2023 Oral. Project page: https://jhang2020.github.io/Projects/HiCLR/HiCLR.html

When Fair Classification Meets Noisy Protected Attributes

Avijit Ghosh, Pablo Kvitca, Christo Wilson

Comments Accepted at the 6th AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES) 2023

Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration

Meng Li, Yahan Yu, Yi Yang, Guanghao Ren, Jian Wang

Comments 10 pages, 8 figures, published to AAAI-23 (oral)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 37(1), 1360-1367, 2023

More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias

Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky

Journal ref Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2022 Oct 14 (Vol. 10, pp. 133-146)

A SAT-based Resolution of Lam's Problem

Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias Kotsireas, Vijay Ganesh

Comments To appear at the Thirty-Fifth AAAI Conference on Artificial Intelligence

Some Observations on Fact-Checking Work with Implications for Computational Support

Rob Procter, Miguel Arana-Catania, Yulan He, Maria Liakata, Arkaitz Zubiaga, Elena Kochkina, Runcong Zhao

Comments 11 pages. International AAAI Conference on Web and Social Media, Mediate 2023: News Media and Computational Journalism Workshop

Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network

Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park

Comments 9 pages; AAAI 2023

Fourier-Net: Fast Image Registration with Band-limited Deformation

Xi Jia, Joseph Bartlett, Wei Chen, Siyang Song, Tianyang Zhang, Xinxing Cheng, Wenqi Lu, Zhaowen Qiu, Jinming Duan

Comments Copyright belongs to AAAI

Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning

Tamas Madl, Weijie Xu, Olivia Choudhury, Matthew Howard

Comments 10 pages, 3 figures, AAAI Workshop

Journal ref AAAI 2023 Workshop on Privacy-Preserving Artificial Intelligence

AIO-P: Expanding Neural Performance Predictors Beyond Image Classification

Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui

Comments AAAI 2023 Oral Presentation; version includes supplementary material; 16 Pages, 4 Figures, 22 Tables

GENNAPE: Towards Generalized Neural Architecture Performance Estimators

Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu

Comments AAAI 2023 Oral Presentation; includes supplementary materials with more details on introduced benchmarks; 14 Pages, 6 Figures, 10 Tables

Generalizing Downsampling from Regular Data to Graphs

Davide Bacciu, Alessio Conte, Francesco Landolfi

Comments Accepted at AAAI 2023; Extended version with proofs; 15 pages, 3 figures, 5 tables

Mechanism Design with Predicted Task Revenue for Bike Sharing Systems

Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen

Comments Accepted by AAAI 2020; This is the full version that contains all the proofs

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging

Tunazzina Islam, Ruqi Zhang, Dan Goldwasser

Comments Accepted as a long paper at 6th AAAI/ACM Conference on AI, Ethics, and Society 2023 (AIES-2023). Updated for camera-ready