Search Results for author: Oleksii Hrinchuk

Found 11 papers, 6 papers with code

Tensorized Embedding Layers

no code implementations Findings of the Association for Computational Linguistics 2020 Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova, Elena Orlova, Ivan Oseledets

The embedding layers transforming input words into real vectors are the key components of deep neural networks used in natural language processing.

Catalyst.RL: A Distributed Framework for Reproducible RL Research

1 code implementation28 Feb 2019 Sergey Kolesnikov, Oleksii Hrinchuk

Despite the recent progress in deep reinforcement learning field (RL), and, arguably because of it, a large body of work remains to be done in reproducing and carefully comparing different RL algorithms.

Continuous Control

Tensorized Embedding Layers for Efficient Model Compression

1 code implementation30 Jan 2019 Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova, Elena Orlova, Ivan Oseledets

The embedding layers transforming input words into real vectors are the key components of deep neural networks used in natural language processing.

Language Modelling Machine Translation +2

Riemannian Optimization for Skip-Gram Negative Sampling

1 code implementation ACL 2017 Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan Oseledets

Skip-Gram Negative Sampling (SGNS) word embedding model, well known by its implementation in "word2vec" software, is usually optimized by stochastic gradient descent.

Riemannian optimization

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