ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.04797
  4. Cited By
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks

Revealing the Utilized Rank of Subspaces of Learning in Neural Networks

5 July 2024
Isha Garg
Christian Koguchi
Eshan Verma
Daniel Ulbricht
ArXivPDFHTML

Papers citing "Revealing the Utilized Rank of Subspaces of Learning in Neural Networks"

3 / 3 papers shown
Title
Neural Rank Collapse: Weight Decay and Small Within-Class Variability
  Yield Low-Rank Bias
Neural Rank Collapse: Weight Decay and Small Within-Class Variability Yield Low-Rank Bias
Emanuele Zangrando
Piero Deidda
Simone Brugiapaglia
Nicola Guglielmi
Francesco Tudisco
27
8
0
06 Feb 2024
Low-rank lottery tickets: finding efficient low-rank neural networks via
  matrix differential equations
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Steffen Schotthöfer
Emanuele Zangrando
J. Kusch
Gianluca Ceruti
Francesco Tudisco
53
30
0
26 May 2022
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
63
56
0
03 May 2021
1