AAAI

Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application

Abhijit Suresh, Jennifer Jacobs, Vivian Lai, Chenhao Tan, Wayne Ward, James H. Martin, Tamara Sumner

Comments Presented at the AAAI 2021 Spring Symposium on Artificial Intelligence for K-12 Education

Automated Biodesign Engineering by Abductive Meta-Interpretive Learning

Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton, Geoff S. Baldwin

Comments Accepted by SSS-21 (AAAI Spring Symposium Series 2021), Artificial Intelligence for Synthetic Biology (AI4Synbio) track

Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching

Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang

Comments AAAI 2020

Towards Equity and Algorithmic Fairness in Student Grade Prediction

Weijie Jiang, Zachary A. Pardos

Comments Accepted to the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES '21)

The Coloniality of Data Work in Latin America

Julian Posada

Journal ref Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Semi-Supervised Metric Learning: A Deep Resurrection

Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar

Comments In AAAI-2021

A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal

Jan-Peter Kucklick, Oliver Müller

Comments Presented at: The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services

On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes

Riccardo Fogliato, Alice Xiang, Zachary Lipton, Daniel Nagin, Alexandra Chouldechova

Comments Accepted at AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021

The Influence of Memory in Multi-Agent Consensus

David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira, Marcelo Matheus Gauy, Peter McBurney

Comments Accepted at AAAI 2021

Loss-Aversively Fair Classification

Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi

Comments 8 pages, Accepted at AIES 2019

Journal ref In AAAI/ACM Conference on AI, Ethics, and Society (AIES 2019), January 27-28 2019 Honolulu, HI, USA

Modeling High-order Interactions across Multi-interests for Micro-video Recommendation

Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu

Comments accepted to AAAI 2021

Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm

Saptarshi Chakraborty, Debolina Paul, Swagatam Das

Comments To appear at the 35-th AAAI Conference on Artificial Intelligence, February 2-9, 2021

Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases

Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel

Journal ref Proc. AAAI, 2021

Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection

Krishanu Sarker, Sharbani Pandit, Anupam Sarker, Saeid Belkasim, Shihao Ji

Comments AAAI, TAIH workshop, 2021

VisualMRC: Machine Reading Comprehension on Document Images

Ryota Tanaka, Kyosuke Nishida, Sen Yoshida

Comments Accepted as a full paper at AAAI 2021. The first two authors have equal contribution

Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback

Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci

Comments 18 pages

Journal ref The 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

Progressive One-shot Human Parsing

Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao

Comments Accepted in AAAI 2021. 9 pages, 4 figures

Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks

Yang Song, Qiyu Kang, Wee Peng Tay

Comments Published in Proc. AAAI Conference on Artificial Intelligence, 2021

Understanding the Representation and Representativeness of Age in AI Data Sets

Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris

Comments 9 pages

Journal ref In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES '21)

Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results

Harish Panneer Selvam, Yan Li, Pengyue Wang, William F. Northrop, Shashi Shekhar

Comments Accepted by Association for Advancement of Artificial Intelligence (AAAI) Fall Symposium Series 2020: Physics-Guided AI to Accelerate Scientific Discovery (https://sites.google.com/vt.edu/pgai-aaai-20)

Journal ref PGAI-AAAI-20(2020)

Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences

Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz

Comments Accepted for poster presentation at the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi

Varad Bhatnagar, Prince Kumar, Sairam Moghili, Pushpak Bhattacharyya

Journal ref CONSTRAINT @AAAI 2021 Combating Online Hostile Posts in Regional Languages during Emergency Situation pp244-255

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang

Comments AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) 2021

Multidimensional Uncertainty-Aware Evidential Neural Networks

Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen

Comments AAAI 2021

Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms

Akshat Pandey, Aylin Caliskan

Comments 16 pages, 3 tables, 8 figures

Journal ref AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES 2021)

Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation

Yan-Bo Lin, Yu-Chiang Frank Wang

Comments AAAI'21

Media Cloud: Massive Open Source Collection of Global News on the Open Web

Hal Roberts, Rahul Bhargava, Linas Valiukas, Dennis Jen, Momin M. Malik, Cindy Bishop, Emily Ndulue, Aashka Dave, Justin Clark, Bruce Etling, Rob Faris, Anushka Shah, Jasmin Rubinovitz, Alexis Hope, Catherine D'Ignazio, Fernando Bermejo, Yochai Benkler, Ethan Zuckerman

Comments 15 pages, 9 figures, accepted (minus the 3-page, 3-image appendix given here) for publication and forthcoming in Proceedings of the Fifteenth International AAAI Conference on Web and Social Media (ICWSM-2021)

Augmenting Policy Learning with Routines Discovered from a Single Demonstration

Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum

Comments AAAI 2021. Code is available at AAAI21-RoutineAugmentedPolicyLearning" target="_blank" rel="noopener">https://github.com/sjtuytc/AAAI21-RoutineAugmentedPolicyLearning

Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data

Gal Yona, Amirata Ghorbani, James Zou

Comments To appear in AAAI/ACM Conference on AI, Ethics, and Society (2021)

Mitigating Political Bias in Language Models Through Reinforced Calibration

Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi

Comments In proceedings of the 35th AAAI Conference on Artificial Intelligence