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researcher

E. Kharitonov

24 papers hereh-index 275.3k citations45 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author10
  • middle author10
  • last author1

Across the 21 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL18
  • cs.SD4
  • cs.IR1
  • eess.AS1
same name
  • E. Kharitonov — 5 papers, h 3
  • E. Kharitonov — 1 paper, h 0
  • E. Kharitonov — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132025
most citedData Augmenting Contrastive Learning of Speech Representations in the Time Domain

93 citations · 371 across the 20 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019

EGG: a toolkit for research on Emergence of lanGuage in Games

Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt +1

There is renewed interest in simulating language emergence among deep neural agents that communicate to jointly solve a task, spurred by the practical aim to develop language-enabl…

cs.CL2019

Word-order biases in deep-agent emergent communication

Rahma Chaabouni, Eugene Kharitonov, Alessandro Lazaric +2

Sequence-processing neural networks led to remarkable progress on many NLP tasks. As a consequence, there has been increasing interest in understanding to what extent they process…

cs.CL2019★ 4 cited

Entropy Minimization In Emergent Languages

Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt +1

There is growing interest in studying the languages that emerge when neural agents are jointly trained to solve tasks requiring communication through a discrete channel. We investi…

cs.CL2019★ 68 cited

Anti-efficient encoding in emergent communication

Rahma Chaabouni, Eugene Kharitonov, Emmanuel Dupoux +1

Despite renewed interest in emergent language simulations with neural networks, little is known about the basic properties of the induced code, and how they compare to human langua…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.