Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods

2 June 2022

Papers citing "Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods"

7 / 7 papers shown

Title
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 46 72 0 05 Oct 2022
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 59 48 0 27 Sep 2021
The Emergence of the Shape Bias Results from Communicative Efficiency Eva Portelance Michael C. Frank Dan Jurafsky Alessandro Sordoni Romain Laroche 77 19 0 13 Sep 2021
Iterated learning for emergent systematicity in VQA Ankit Vani Max Schwarzer Yucheng Lu Eeshan Gunesh Dhekane Aaron C. Courville 64 24 0 03 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 308 5,773 0 29 Apr 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 197 260 0 18 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020