3 papers
cs.CV2021
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation
Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo
Self-supervised monocular depth estimation has been widely studied, owing to its practical importance and recent promising improvements. However, most works suffer from limited sup…
cs.LG2019
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe
Various forms of representations may arise in the many layers embedded in deep neural networks (DNNs). Of these, where can we find the most compact representation? We propose to us…
cs.LG2019
Comparing Sample-wise Learnability Across Deep Neural Network Models
Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung +1
Estimating the relative importance of each sample in a training set has important practical and theoretical value, such as in importance sampling or curriculum learning. This kind…