Explicit dropout reformulates stochastic dropout as deterministic loss penalties for Transformers, matching or exceeding standard performance with independent control per component.
Dropoutasabayesianapproximation: Representing model uncertainty in deep learning, in: Proceedings of The 33rd International Conference on Machine Learning, pp
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Explicit Dropout: Deterministic Regularization for Transformer Architectures
Explicit dropout reformulates stochastic dropout as deterministic loss penalties for Transformers, matching or exceeding standard performance with independent control per component.