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loss curve

topic1 events
papersSEP 12 04:00 UTC

ExpTest Uses Loss-Curve Hypothesis Testing to Pick Learning Rates Automatically

A research paper proposes ExpTest, a method that selects learning rates for deep neural networks on its own by statistically testing the shape of the training loss curve. The approach aims to reduce the manual searching and expensive grid searches that currently make hyperparameter tuning costly and less accessible. It is presented as part of ongoing work on arXiv in the cs.AI category.

research/training/hyperparameters/optimization