229 citations · 351 across the 12 of their papers we have counts for
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cs.LG2022★ 2 cited
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting
Zhao Chen, Vincent Casser, Henrik Kretzschmar +1
We propose GradTail, an algorithm that uses gradients to improve model performance on the fly in the face of long-tailed training data distributions. Unlike conventional long-tail…
cs.LG2020★ 64 cited
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen, Jiquan Ngiam, Yanping Huang +4
The vast majority of deep models use multiple gradient signals, typically corresponding to a sum of multiple loss terms, to update a shared set of trainable weights. However, these…