AAAI

CUTS+: High-dimensional Causal Discovery from Irregular Time-series

Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Qin Zhong, Jinli Suo, Kunlun He

Comments Submit to AAAI-24

3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation

Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu

Journal ref AAAI 2023

Certified Symmetry and Dominance Breaking for Combinatorial Optimisation

Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

Comments This paper was published in the Journal of Artificial Intelligence Research https://doi.org/10.1613/jair.1.14296 It is an extended version of our (equally-named) paper to appear in the proceedings of AAAI 2022 https://ojs.aaai.org/index.php/AAAI/article/view/20283

Journal ref Journal of Artificial Intelligence Research, volume 77: pages 1539-1589, 2023

Learn More for Food Recognition via Progressive Self-Distillation

Yaohui Zhu, Linhu Liu, Jiang Tian

Comments Accepted by AAAI 2023

Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit

Ming Ying Yang, Gloria Hyunjung Kwak, Tom Pollard, Leo Anthony Celi, Marzyeh Ghassemi

Journal ref In AAAI/ACM Conference on AI, Ethics, and Society (AIES '23), August 8-10, 2023, Montreal, QC, Canada. ACM, New York, NY, USA, 18 pages

Fairness in Machine Learning meets with Equity in Healthcare

Shaina Raza, Parisa Osivand Pour, Syed Raza Bashir

Comments Accepted in Association for the Advancement of Artificial Intelligence (AAAI) 2023 , Responsible Medical AI, Design, and Operationalization Symposium

FastDiagP: An Algorithm for Parallelized Direct Diagnosis

Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig, David Benavides, José Galindo, Thi Ngoc Trang Tran

Comments presented at The 37th AAAI Conference on Artificial Intelligence, AAAI'23, Washington DC, USA

Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling

Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof

Comments This paper has been accepted to AAAI 2023; this is not the final version

Expeditious Saliency-guided Mix-up through Random Gradient Thresholding

Minh-Long Luu, Zeyi Huang, Eric P. Xing, Yong Jae Lee, Haohan Wang

Comments Accepted Long paper at 2nd Practical-DL Workshop at AAAI 2023

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

Comments Preprint, Accepted by AAAI 2023

Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models

Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn

Comments v1 Presented at the First Workshop of Pre-training: Perspectives, Pitfalls, and Paths Forward (ICML, 2022) and New Frontiers in Adversarial Machine Learning Workshop (ICML, 2022); v2 Presented at the Sixth AAAI/ACM Conference on AI, Ethics, and Society (AIES, 2023)

The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data

Catherine Ordun, Edward Raff, Sanjay Purushotham

Comments Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA

Journal ref 2020, AAAI FSS-20 AI in Government and Public Sector Applications

Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare

Eran Tal

Comments Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES23)

CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning

Tianhao Peng, Yu Liang, Wenjun Wu, Jian Ren, Zhao Pengrui, Yanjun Pu

Comments 8 pages, 5 figures, conference: AAAI

Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation

Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang

Comments Accepted to AAAI 2023

Exploiting Multiple Abstractions in Episodic RL via Reward Shaping

Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito, Luca Iocchi, Fabio Patrizi

Comments This is an extended version of the paper presented at AAAI 2023, https://doi.org/10.1609/aaai.v37i6.25881

Assessing Systematic Weaknesses of DNNs using Counterfactuals

Sujan Sai Gannamaneni, Michael Mock, Maram Akila

Comments AAAI Spring Symposium 2023

Using ScrutinAI for Visual Inspection of DNN Performance in a Medical Use Case

Rebekka Görge, Elena Haedecke, Michael Mock

Comments Accepted at AAAI Spring Symposium 2023 AITA: AI Trustworthiness Assessment

The Complexity of Learning Approval-Based Multiwinner Voting Rules

Ioannis Caragiannis, Karl Fehrs

Comments 28 pages, 1 figure

Journal ref Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), pages 4235-4932, 2022

Constructing and Interpreting Causal Knowledge Graphs from News

Fiona Anting Tan, Debdeep Paul, Sahim Yamaura, Miura Koji, See-Kiong Ng

Comments Accepted to AAAI Summer Symposium 2023 (AI4FinTech)

FastAMI -- a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics

Kai Klede, Leo Schwinn, Dario Zanca, Björn Eskofier

Comments Accepted at AAAI 2023

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 37(7), 2023, 8317-8324

Morality in the mundane: Categorizing moral reasoning in real-life social situations

Ruijie Xi, Munindar P. Singh

Comments Accepted by THE 18TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM2024)

The Role of Heuristics and Biases During Complex Choices with an AI Teammate

Nikolos Gurney, John H. Miller, David V. Pynadath

Comments AAAI 2023

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning

Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr

Journal ref AAAI 2023

DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer

Buyu Li, Yongchi Zhao, Zhelun Shi, Lu Sheng

Comments This is the version accepted by AAAI-22

Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge

Javier Chiyah-Garcia, Alessandro Suglia, José Lopes, Arash Eshghi, Helen Hastie

Comments Accepted to AAAI 2022 DSTC10 Workshop

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms

Organizers of QueerInAI, Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal

Comments To appear at AIES 2023

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

Integrating Curricula with Replays: Its Effects on Continual Learning

Ren Jie Tee, Mengmi Zhang

Comments 8 pages, 6 figures, accepted in AAAI Summer Symposium Series Proceedings

How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection

Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang

Comments To appear at AIES '23. Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, and Jie Yang. 2023. How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. In AAAI/ACM Conference on AI, Ethics, and Society (AIES '23), August 8.10, 2023, Montreal, QC, Canada. ACM, New York, NY, USA. 11 pages

Provable Reset-free Reinforcement Learning by No-Regret Reduction

Hoai-An Nguyen, Ching-An Cheng

Comments Full version of the paper accepted to ICML 2023. Also spotlighted in AAAI 2023 RL4PROD Workshop