Eight papers got accepted to AAAI 2021

Eight papers from the KAIST Graduate School of AI (“KAIST AI”) got accepted to the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021). AAAI is one of the world’s largest and most recognized conferences on AI. In 2021, it is to be held virtually on February 2-9.


List of the papers:


1. Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
Anh Tong, Toan Tran, Hung Bui, and Jaesik Choi
2. Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
Anh Tong and Jaesik Choi
3. Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations
Woo Jeoung Nam, Jaesik Choi, and Seong-Whan Lee
4. Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
Tuan Nguyen*, Hyewon Jeong*, Eunho Yang, and Sung Ju Hwang
5. GTA: Graph Truncated Attention for Retrosynthesis
Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, and Eunho Yang
6. Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
Sunghyun Park,* Kangyeol Kim,* Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, and Edward Choi
7. PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, and Jae-Gil Lee
8. MASKER: Masked Keyword Regularization for Reliable Text Classification
Seung Jun Moon*, Sangwoo Mo*, Kimin Lee, Jaeho Lee, and Jinwoo Shin