6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2017
Using stochastic computation graphs formalism for optimization of sequence-to-sequence model
Eugene Golikov, Vlad Zhukov, Maksim Kretov
Variety of machine learning problems can be formulated as an optimization task for some (surrogate) loss function. Calculation of loss function can be viewed in terms of stochastic…
cs.CL2017★ 6 cited
Differentiable lower bound for expected BLEU score
Vlad Zhukov, Eugene Golikov, Maksim Kretov
In natural language processing tasks performance of the models is often measured with some non-differentiable metric, such as BLEU score. To use efficient gradient-based methods fo…