59 citations · 66 across the 4 of their papers we have counts for
5 papers
Object Segmentation Without Labels with Large-Scale Generative Models
Andrey Voynov, Stanislav Morozov, Artem Babenko
The recent rise of unsupervised and self-supervised learning has dramatically reduced the dependency on labeled data, providing effective image representations for transfer to down…
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Denis Mazur, Vage Egiazarian, Stanislav Morozov +1
Learning useful representations is a key ingredient to the success of modern machine learning. Currently, representation learning mostly relies on embedding data into Euclidean spa…
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov, Stanislav Morozov, Artem Babenko
Nowadays, deep neural networks (DNNs) have become the main instrument for machine learning tasks within a wide range of domains, including vision, NLP, and speech. Meanwhile, in an…
Unsupervised Neural Quantization for Compressed-Domain Similarity Search
Stanislav Morozov, Artem Babenko
We tackle the problem of unsupervised visual descriptors compression, which is a key ingredient of large-scale image retrieval systems. While the deep learning machinery has benefi…
Relevance Proximity Graphs for Fast Relevance Retrieval
Stanislav Morozov, Artem Babenko
In plenty of machine learning applications, the most relevant items for a particular query should be efficiently extracted, while the relevance function is based on a highly-nonlin…