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Deconstructing the Goldilocks Zone of Neural Network Initialization

Deconstructing the Goldilocks Zone of Neural Network Initialization

5 February 2024
Artem Vysogorets
Anna Dawid
Julia Kempe
ArXivPDFHTML

Papers citing "Deconstructing the Goldilocks Zone of Neural Network Initialization"

4 / 4 papers shown
Title
Information-Theoretic Progress Measures reveal Grokking is an Emergent
  Phase Transition
Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition
Kenzo Clauw
S. Stramaglia
Daniele Marinazzo
50
3
0
16 Aug 2024
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
267
0
19 May 2022
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
159
235
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
310
2,892
0
15 Sep 2016
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