Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

On minimal variations for unsupervised representation learning


Nov 07, 2022
Vivien Cabannes, Alberto Bietti, Randall Balestriero

Add code

* 5 pages, 1 figure; 1 table 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks


Nov 07, 2022
Randall Balestriero, Yann LeCun

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations


Nov 03, 2022
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The Hidden Uniform Cluster Prior in Self-Supervised Learning


Oct 13, 2022
Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael Rabbat, Nicolas Ballas

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank


Oct 05, 2022
Quentin Garrido, Randall Balestriero, Laurent Najman, Yann Lecun

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations


Sep 29, 2022
Grégoire Mialon, Randall Balestriero, Yann LeCun

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Joint Embedding Self-Supervised Learning in the Kernel Regime


Sep 29, 2022
Bobak T. Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Batch Normalization Explained


Sep 29, 2022
Randall Balestriero, Richard G. Baraniuk

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

What Do We Maximize in Self-Supervised Learning?


Jul 20, 2022
Ravid Shwartz-Ziv, Randall Balestriero, Yann LeCun

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head


Jun 27, 2022
Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
6
>>