A2I2 papers published at AAAI 2021

News / Shannon Ryan / March 3, 2021

A2I2 is proud to share our work being featured at the 35th AAAI Conference on Artificial Intelligence, running virtually this year from February 2 to 9.

Organized by the Association for the Advancement of Artificial Intelligence, AAAI is one of the world’s leading artificial intelligence conferences (see: Google Scholar and Guide2Research). The AAAI Conference promotes research in artificial intelligence (AI) and fosters scientific exchange between researchers, practitioners, scientists, students and engineers in AI and its affiliated disciplines.

According to the Program Co-chair Kevin Leyton-Brown, AAAI 2021 received a record-high 9,034 submissions compared to last year’s 8800. Over 7,911 papers went to review with 1,692 papers accepted for presentation (acceptance rate of 21%). During the review process, every main-track Phase II paper received at least three reviews and over 93% received four or more reviews.

High Dimensional Level Set Estimation with Bayesian Neural Network
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
Paper: https://arxiv.org/abs/2012.09973
Slides: https://bit.ly/3u5jyq4
Poster: https://bit.ly/37eXoI7

Distributional Reinforcement Learning via Moment Matching
Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh
Paper: https://arxiv.org/abs/2007.12354
Slides: https://bit.ly/3jSJsZs
Poster: https://bit.ly/2N4Bhxj

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
Kien Do, Truyen Tran, Svetha Venkatesh
Paper: https://arxiv.org/pdf/2012.01793.pdf
Slides: https://bit.ly/3qurY85

Author: Trang Tran

Editor: Shannon Ryan