2 papers
cs.LG2021
GMAC: A Distributional Perspective on Actor-Critic Framework
Daniel Wontae Nam, Younghoon Kim, Chan Y. Park
In this paper, we devise a distributional framework on actor-critic as a solution to distributional instability, action type restriction, and conflation between samples and statist…
cs.CV2020
Learning Loss for Test-Time Augmentation
Ildoo Kim, Younghoon Kim, Sungwoong Kim
Data augmentation has been actively studied for robust neural networks. Most of the recent data augmentation methods focus on augmenting datasets during the training phase. At the…