6 citations · 11 across the 3 of their papers we have counts for
4 papers
Catalyst.RL: A Distributed Framework for Reproducible RL Research
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 d…
Artificial Intelligence for Prosthetics - challenge solutions
Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…
Generalized Tensor Models for Recurrent Neural Networks
Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets
Recurrent Neural Networks (RNNs) are very successful at solving challenging problems with sequential data. However, this observed efficiency is not yet entirely explained by theory…
Tensorized Embedding Layers for Efficient Model Compression
Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova +2
The embedding layers transforming input words into real vectors are the key components of deep neural networks used in natural language processing. However, when the vocabulary is…