19 citations · 33 across the 7 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021★ 6 cited
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks
Jaehui Hwang, Huan Zhang, Jun-Ho Choi +2
Recently, video-based action recognition methods using convolutional neural networks (CNNs) achieve remarkable recognition performance. However, there is still lack of understandin…
cs.CV2021★ 5 cited
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits
Hojung Lee, Jong-Seok Lee
This paper proposes a novel knowledge distillation-based learning method to improve the classification performance of convolutional neural networks (CNNs) without a pre-trained tea…
cs.LG2021★ 19 cited
Local Critic Training for Model-Parallel Learning of Deep Neural Networks
Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee
In this paper, we propose a novel model-parallel learning method, called local critic training, which trains neural networks using additional modules called local critic networks.…