1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
Baekrok Shin, Junsoo Oh, Hanseul Cho +1
Warm-starting neural network training by initializing networks with previously learned weights is appealing, as practical neural networks are often deployed under a continuous infl…
cs.LG2024
Provable Benefit of Cutout and CutMix for Feature Learning
Junsoo Oh, Chulhee Yun
Patch-level data augmentation techniques such as Cutout and CutMix have demonstrated significant efficacy in enhancing the performance of vision tasks. However, a comprehensive the…
cs.LG2023★ 1 cited
Provable Benefit of Mixup for Finding Optimal Decision Boundaries
Junsoo Oh, Chulhee Yun
We investigate how pair-wise data augmentation techniques like Mixup affect the sample complexity of finding optimal decision boundaries in a binary linear classification problem.…