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Light-weight probing of unsupervised representations for Reinforcement
  Learning

Light-weight probing of unsupervised representations for Reinforcement Learning

25 August 2022
Wancong Zhang
Anthony GX-Chen
Vlad Sobal
Yann LeCun
Nicolas Carion
    SSL
    OffRL
ArXivPDFHTML

Papers citing "Light-weight probing of unsupervised representations for Reinforcement Learning"

6 / 6 papers shown
Title
RankMe: Assessing the downstream performance of pretrained
  self-supervised representations by their rank
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
37
53
0
05 Oct 2022
Curious Representation Learning for Embodied Intelligence
Curious Representation Learning for Embodied Intelligence
Yilun Du
Chuang Gan
Phillip Isola
SSL
LM&Ro
87
33
0
03 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
259
337
0
14 Sep 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
235
3,029
0
09 Mar 2020
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
60
317
0
18 Feb 2014
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