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2007.12782
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Linear discriminant initialization for feed-forward neural networks
24 July 2020
Marissa Masden
D. Sinha
FedML
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Papers citing
"Linear discriminant initialization for feed-forward neural networks"
7 / 7 papers shown
Title
Topological Approaches to Deep Learning
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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
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Michael Carbin
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Don't Decay the Learning Rate, Increase the Batch Size
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Pieter-Jan Kindermans
Chris Ying
Quoc V. Le
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Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
710
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12 Jun 2017
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
427
2,941
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15 Sep 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,625
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06 Feb 2015
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
178
1,849
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20 Dec 2013
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