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An In-depth Study of Stochastic Backpropagation

An In-depth Study of Stochastic Backpropagation

30 September 2022
J. Fang
Ming Xu
Hao Chen
Bing Shuai
Z. Tu
Joseph Tighe
    BDL
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Papers citing "An In-depth Study of Stochastic Backpropagation"

4 / 4 papers shown
Title
Quantum Neural Networks for Power Flow Analysis
Quantum Neural Networks for Power Flow Analysis
Zeynab Kaseb
Matthias Möller
G. Balducci
Peter Palensky
Pedro P. Vergara
13
8
0
04 Nov 2023
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
268
10,214
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
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
282
39,190
0
01 Sep 2014
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