YOTO learns loss weights via a softmax-parameterized gradient update during training, outperforming fixed grid-searched weights on two vision benchmarks.
Small data, big decisions: Model selection in the small-data regime
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You Only Train Once
YOTO learns loss weights via a softmax-parameterized gradient update during training, outperforming fixed grid-searched weights on two vision benchmarks.