2 code implementations • ICLR 2021 • A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae
We argue that such random selection strategies of the patches may not necessarily represent sufficient information about the corresponding object and thereby mixing the labels according to that uninformative patch enables the model to learn unexpected feature representation.
no code implementations • 28 Dec 2018 • Md Abu Layek, Sanjida Afroz, TaeChoong Chung, Eui-Nam Huh
As a result, if the center part contains any visually salient information, it draws human attention even more and any distortion in that part will be better perceived than other parts.
no code implementations • 11 May 2018 • Le Pham Tuyen, Ngo Anh Vien, Abu Layek, TaeChoong Chung
Hierarchical reinforcement learning is a principled approach that is able to tackle these challenging tasks.
Hierarchical Reinforcement Learning reinforcement-learning +1