5 citations · 9 across the 3 of their papers we have counts for
3 papers · 1 filter
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks
Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang +3
L2 regularization for weights in neural networks is widely used as a standard training trick. However, L2 regularization for gamma, a trainable parameter of batch normalization, re…
Dead Pixel Test Using Effective Receptive Field
Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang +3
Deep neural networks have been used in various fields, but their internal behavior is not well known. In this study, we discuss two counterintuitive behaviors of convolutional neur…
Extending Class Activation Mapping Using Gaussian Receptive Field
Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi +1
This paper addresses the visualization task of deep learning models. To improve Class Activation Mapping (CAM) based visualization method, we offer two options. First, we propose G…