4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization
Min-Kook Suh, Seung-Woo Seo
We address the challenge of estimating the learning rate for adaptive gradient methods used in training deep neural networks. While several learning-rate-free approaches have been…
cs.LG2023★ 4 cited
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
Min-Kook Suh, Seung-Woo Seo
Although contrastive learning methods have shown prevailing performance on a variety of representation learning tasks, they encounter difficulty when the training dataset is long-t…