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Investigating Power laws in Deep Representation Learning

Investigating Power laws in Deep Representation Learning

11 February 2022
Arna Ghosh
Arnab Kumar Mondal
Kumar Krishna Agrawal
Blake A. Richards
    SSLOOD
ArXiv (abs)PDFHTML

Papers citing "Investigating Power laws in Deep Representation Learning"

4 / 4 papers shown
Title
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Chi-Ning Chou
Hang Le
Yichen Wang
SueYeon Chung
95
0
0
23 Mar 2025
Modulate Your Spectrum in Self-Supervised Learning
Modulate Your Spectrum in Self-Supervised Learning
Xi Weng
Yu-Li Ni
Tengwei Song
Jie Luo
Rao Muhammad Anwer
Salman Khan
Fahad Shahbaz Khan
Lei Huang
84
5
0
26 May 2023
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
138
79
0
05 Oct 2022
Different Spectral Representations in Optimized Artificial Neural
  Networks and Brains
Different Spectral Representations in Optimized Artificial Neural Networks and Brains
Richard C. Gerum
Cassidy Pirlot
Alona Fyshe
J. Zylberberg
AAML
59
1
0
22 Aug 2022
1