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ReZero is All You Need: Fast Convergence at Large Depth

ReZero is All You Need: Fast Convergence at Large Depth

10 March 2020
Thomas C. Bachlechner
Bodhisattwa Prasad Majumder
H. H. Mao
G. Cottrell
Julian McAuley
    AI4CE
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Papers citing "ReZero is All You Need: Fast Convergence at Large Depth"

6 / 56 papers shown
Title
Reservoir Transformers
Reservoir Transformers
Sheng Shen
Alexei Baevski
Ari S. Morcos
Kurt Keutzer
Michael Auli
Douwe Kiela
25
17
0
30 Dec 2020
On the Transfer of Disentangled Representations in Realistic Settings
On the Transfer of Disentangled Representations in Realistic Settings
Andrea Dittadi
Frederik Trauble
Francesco Locatello
M. Wuthrich
Vaibhav Agrawal
Ole Winther
Stefan Bauer
Bernhard Schölkopf
OOD
20
80
0
27 Oct 2020
Speech Recognition and Multi-Speaker Diarization of Long Conversations
Speech Recognition and Multi-Speaker Diarization of Long Conversations
H. H. Mao
Shuyang Li
Julian McAuley
G. Cottrell
VLM
20
39
0
16 May 2020
Set Functions for Time Series
Set Functions for Time Series
Max Horn
Michael Moor
Christian Bock
Bastian Alexander Rieck
Karsten M. Borgwardt
AI4TS
27
143
0
26 Sep 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
216
1,398
0
04 Dec 2018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
348
0
14 Jun 2018
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