4 citations · 8 across the 2 of their papers we have counts for
3 papers
Distributed Deep Learning in Open Collaborations
Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin +13
Modern deep learning applications require increasingly more compute to train state-of-the-art models. To address this demand, large corporations and institutions use dedicated High…
Editable Neural Networks
Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy Pyrkin +2
These days deep neural networks are ubiquitously used in a wide range of tasks, from image classification and machine translation to face identification and self-driving cars. In m…
Learning to Route in Similarity Graphs
Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin +1
Recently similarity graphs became the leading paradigm for efficient nearest neighbor search, outperforming traditional tree-based and LSH-based methods. Similarity graphs perform…