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Catapults in SGD: spikes in the training loss and their impact on
  generalization through feature learning

Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning

7 June 2023
Libin Zhu
Chaoyue Liu
Adityanarayanan Radhakrishnan
M. Belkin
ArXivPDFHTML

Papers citing "Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning"

11 / 11 papers shown
Title
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
Dayal Singh Kalra
Tianyu He
M. Barkeshli
47
4
0
17 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
30
3
0
22 Sep 2024
Does SGD really happen in tiny subspaces?
Does SGD really happen in tiny subspaces?
Minhak Song
Kwangjun Ahn
Chulhee Yun
53
4
1
25 May 2024
Linear Recursive Feature Machines provably recover low-rank matrices
Linear Recursive Feature Machines provably recover low-rank matrices
Adityanarayanan Radhakrishnan
Misha Belkin
D. Drusvyatskiy
56
8
0
09 Jan 2024
Transition to Linearity of General Neural Networks with Directed Acyclic
  Graph Architecture
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
Libin Zhu
Chaoyue Liu
M. Belkin
GNN
AI4CE
6
4
0
24 May 2022
Understanding Gradient Descent on Edge of Stability in Deep Learning
Understanding Gradient Descent on Edge of Stability in Deep Learning
Sanjeev Arora
Zhiyuan Li
A. Panigrahi
MLT
72
88
0
19 May 2022
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Yuqing Wang
Minshuo Chen
T. Zhao
Molei Tao
AI4CE
52
40
0
07 Oct 2021
Stochastic Training is Not Necessary for Generalization
Stochastic Training is Not Necessary for Generalization
Jonas Geiping
Micah Goldblum
Phillip E. Pope
Michael Moeller
Tom Goldstein
81
72
0
29 Sep 2021
The large learning rate phase of deep learning: the catapult mechanism
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz
Yasaman Bahri
Ethan Dyer
Jascha Narain Sohl-Dickstein
Guy Gur-Ari
ODL
150
232
0
04 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
1