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researcher

Yann LeCun

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140 papers hereh-index 139269.5k citations406 works total

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

author position
  • middle author43
  • last author95

Across the 138 of 140 papers where every author was matched, so the position is known.

fields
  • cs.LG60
  • cs.CV52
  • cs.CL8
  • stat.ML7
  • cs.AI4
  • cs.DC3
affiliations
  • Facebook
  • NYU
same name
  • Yann LeCun — 44 papers, h 22
  • Yann LeCun — 43 papers, h 12
  • Yann LeCun — 8 papers, h 8
  • Yann LeCun — 2 papers
  • Yann LeCun — 1 paper, h 1
  • Yann LeCun — 1 paper

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

works on
computer vision 1image matching 1object discovery 1optimization 1unsupervised learning 1

From the 1 of 140 linked papers with an AI index.

activity
20102026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations · 25.2k across the 137 of their papers we have counts for

collaborators
Showing 2016 · cs.CVShow all

3 papers · 2 filters

cs.CV2016★ 3.7k cited

Geometric deep learning: going beyond Euclidean data

Michael M. Bronstein, Joan Bruna, Yann LeCun +2

Many scientific fields study data with an underlying structure that is a non-Euclidean space. Some examples include social networks in computational social sciences, sensor network…

cs.CV2016

What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?

Kevin Jarrett, Koray Kvukcuoglu, Karol Gregor +1

(This paper was written in November 2011 and never published. It is posted on arXiv.org in its original form in June 2016). Many recent object recognition systems have proposed usi…

cs.CV2016★ 2 cited

Phase 2: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Machine Learning Detection Algorithms

Peter J. Dugan, Christopher W. Clark, Yann André LeCun +1

Overarching goals for this work aim to advance the state of the art for detection, classification and localization (DCL) in the field of bioacoustics. This goal is primarily achiev…

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