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. 2402.09142
  4. Cited By
When Representations Align: Universality in Representation Learning
  Dynamics

When Representations Align: Universality in Representation Learning Dynamics

14 February 2024
Loek van Rossem
Andrew M. Saxe
    AI4CE
ArXivPDFHTML

Papers citing "When Representations Align: Universality in Representation Learning Dynamics"

13 / 13 papers shown
Title
Formation of Representations in Neural Networks
Formation of Representations in Neural Networks
Liu Ziyin
Isaac Chuang
Tomer Galanti
T. Poggio
204
7
0
03 Oct 2024
Saddle-to-Saddle Dynamics in Diagonal Linear Networks
Saddle-to-Saddle Dynamics in Diagonal Linear Networks
Scott Pesme
Nicolas Flammarion
80
39
0
02 Apr 2023
Training Compute-Optimal Large Language Models
Training Compute-Optimal Large Language Models
Jordan Hoffmann
Sebastian Borgeaud
A. Mensch
Elena Buchatskaya
Trevor Cai
...
Karen Simonyan
Erich Elsen
Jack W. Rae
Oriol Vinyals
Laurent Sifre
AI4TS
200
1,946
0
29 Mar 2022
Imitating Deep Learning Dynamics via Locally Elastic Stochastic
  Differential Equations
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang
Hua Wang
Weijie J. Su
67
8
0
11 Oct 2021
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks
  Trained with the Logistic Loss
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
Lénaïc Chizat
Francis R. Bach
MLT
116
339
0
11 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
602
4,801
0
23 Jan 2020
Universality and individuality in neural dynamics across large
  populations of recurrent networks
Universality and individuality in neural dynamics across large populations of recurrent networks
Niru Maheswaranathan
Alex H. Williams
Matthew D. Golub
Surya Ganguli
David Sussillo
62
145
0
19 Jul 2019
Kernel and Rich Regimes in Overparametrized Models
Blake E. Woodworth
Suriya Gunasekar
Pedro H. P. Savarese
E. Moroshko
Itay Golan
Jason D. Lee
Daniel Soudry
Nathan Srebro
77
363
0
13 Jun 2019
An analytic theory of generalization dynamics and transfer learning in
  deep linear networks
An analytic theory of generalization dynamics and transfer learning in deep linear networks
Andrew Kyle Lampinen
Surya Ganguli
OOD
79
131
0
27 Sep 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Suriya Gunasekar
Jason D. Lee
Daniel Soudry
Nathan Srebro
MDE
124
412
0
01 Jun 2018
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
90
591
0
16 Jun 2016
In Search of the Real Inductive Bias: On the Role of Implicit
  Regularization in Deep Learning
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
AI4CE
92
658
0
20 Dec 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
165
1,845
0
20 Dec 2013
1