10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Attribution Mask: Filtering Out Irrelevant Features By Recursively Focusing Attention on Inputs of DNNs
Jae-Hong Lee, Joon-Hyuk Chang
Attribution methods calculate attributions that visually explain the predictions of deep neural networks (DNNs) by highlighting important parts of the input features. In particular…
cs.CV2019★ 1 cited
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction
Jaehwan Lee, Donggeon Yoo, Jung Yin Huh +1
Grading breast density is highly sensitive to normalization settings of digital mammogram as the density is tightly correlated with the distribution of pixel intensity. Also, the g…
cs.CV2018★ 10 cited
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim, Seungwook Kim, Jaehwan Lee
Data is one of the most important factors in machine learning. However, even if we have high-quality data, there is a situation in which access to the data is restricted. For examp…