output
20192026
most citedNeural Entity Linking: A Survey of Models Based on Deep Learning

144 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 1 cited

Disentanglement Learning via Topology

Nikita Balabin, Daria Voronkova, Ilya Trofimov +2

We propose TopDis (Topological Disentanglement), a method for learning disentangled representations via adding a multi-scale topological loss term. Disentanglement is a crucial pro…

cs.LG2023★ 2 cited

Learning Topology-Preserving Data Representations

Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii +3

We propose a method for learning topology-preserving data representations (dimensionality reduction). The method aims to provide topological similarity between the data manifold an…