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. 2210.03820
  4. Cited By
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks

The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks

7 October 2022
D. Kunin
Atsushi Yamamura
Chao Ma
Surya Ganguli
ArXivPDFHTML

Papers citing "The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks"

6 / 6 papers shown
Title
The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
Sholom Schechtman
Nicolas Schreuder
144
0
0
08 Feb 2025
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clémentine Dominé
Nicolas Anguita
A. Proca
Lukas Braun
D. Kunin
P. Mediano
Andrew M. Saxe
32
3
0
22 Sep 2024
An Unconstrained Layer-Peeled Perspective on Neural Collapse
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
127
83
0
06 Oct 2021
On Margin Maximization in Linear and ReLU Networks
On Margin Maximization in Linear and ReLU Networks
Gal Vardi
Ohad Shamir
Nathan Srebro
47
28
0
06 Oct 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
124
165
0
29 Jan 2021
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning
  Dynamics
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
D. Kunin
Javier Sagastuy-Breña
Surya Ganguli
Daniel L. K. Yamins
Hidenori Tanaka
101
77
0
08 Dec 2020
1