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Found 2 papers, 1 papers with code
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization
We address the challenge of estimating the learning rate for adaptive gradient methods used in training deep neural networks.
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
Although contrastive learning methods have shown prevailing performance on a variety of representation learning tasks, they encounter difficulty when the training dataset is long-tailed.
Ranked #3 on
Long-tail Learning
on iNaturalist 2018
(using extra training data)
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