YOTO learns loss weights via a softmax-parameterized gradient update during training, outperforming fixed grid-searched weights on two vision benchmarks.
On the experimental attainment of optimum conditions.Journal of the Royal Statistical Society: Series B (Methodological), 13(1):1–38, 1951
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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.