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Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

1 June 2024
Hojoon Lee
Hyeonseo Cho
Hyunseung Kim
Donghu Kim
Dugki Min
Jaegul Choo
Clare Lyle
    CLL
ArXivPDFHTML

Papers citing "Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks"

4 / 4 papers shown
Title
Exponential Moving Average of Weights in Deep Learning: Dynamics and
  Benefits
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
Daniel Morales-Brotons
Thijs Vogels
Hadrien Hendrikx
118
16
0
27 Nov 2024
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
85
178
0
16 May 2022
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
226
4,424
0
23 Jan 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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