On minimal variations for unsupervised representation learning

7 November 2022

Papers citing "On minimal variations for unsupervised representation learning"

6 / 6 papers shown

Title
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations? Mark Ibrahim David Klindt Randall Balestriero SSL 56 2 1 15 Jun 2024
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms Vivien A. Cabannes Francis R. Bach 27 3 0 01 Jun 2023
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need Vivien A. Cabannes Léon Bottou Yann LeCun Randall Balestriero 48 13 0 27 Mar 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 3 0 20 Feb 2023
Kernelized Diffusion maps Loucas Pillaud-Vivien Francis R. Bach 16 7 0 13 Feb 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization Vivien A. Cabannes B. Kiani Randall Balestriero Yann LeCun A. Bietti SSL 19 31 0 06 Feb 2023