Skip to content

Code repository for the paper Time to augment self-supervised learnign through time

Notifications You must be signed in to change notification settings

trieschlab/TimeToAugmentSSL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Time to augment visual self-supervised learning

This is the codebase used for the ICLR publication "Time to augment self-supervised visual representation learning" [1]. If you make use of this code please cite as follows:

[1] A. Aubret, M. R. Ernst, C. Teuliere, and J. Triesch, Time to augment visual self-supervised learning, in Eleventh International Conference on Learning Representations (ICLR 2023). The paper can found at https://arxiv.org/pdf/2207.13492.pdf .

Getting started with the repository

The repository contains submodules for each environment needed to reproduce the results of [1]

Please see each directory for specific guidelines.

About

Code repository for the paper Time to augment self-supervised learnign through time

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published