195 citations · 201 across the 4 of their papers we have counts for
4 papers
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler, Varvara Logacheva, Maksim Kretov
For many natural language processing (NLP) tasks the amount of annotated data is limited. This urges a need to apply semi-supervised learning techniques, such as transfer learning…
Embedding-reparameterization procedure for manifold-valued latent variables in generative models
Eugene Golikov, Maksim Kretov
Conventional prior for Variational Auto-Encoder (VAE) is a Gaussian distribution. Recent works demonstrated that choice of prior distribution affects learning capacity of VAE model…
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…
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…