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A head-to-head benchmark comparison of Adaptive Input Transformer + RD across 0 evaluations.
Dropout is a powerful and widely used technique to regularize the training of deep neural networks. In this paper, we introduce a simple regularization strategy.
Full Adaptive Input Transformer + RD specs →No shared benchmark scores found for these models yet.
This comparison covers 0 benchmarks on which at least one of the selected models has a published score.
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