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Found 2 papers, 2 papers with code
Differentiable lower bound for expected BLEU score
In natural language processing tasks performance of the models is often measured with some non-differentiable metric, such as BLEU score.
Using stochastic computation graphs formalism for optimization of sequence-to-sequence model
Variety of machine learning problems can be formulated as an optimization task for some (surrogate) loss function.
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