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Found 2 papers, 2 papers with code
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
Empirically, our approach outperforms competing hyperparameter optimization methods on large-scale deep learning problems.
Reversible Recurrent Neural Networks
Reversible RNNs---RNNs for which the hidden-to-hidden transition can be reversed---offer a path to reduce the memory requirements of training, as hidden states need not be stored and instead can be recomputed during backpropagation.
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