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Invariant backpropagation: how to train a transformation-invariant
  neural network

Invariant backpropagation: how to train a transformation-invariant neural network

16 February 2015
S. Demyanov
James Bailey
K. Ramamohanarao
C. Leckie
    OOD
    AAML
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Papers citing "Invariant backpropagation: how to train a transformation-invariant neural network"

4 / 4 papers shown
Title
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
Maryam Dialameh
A. Hamzeh
Hossein Rahmani
26
3
0
31 Oct 2020
A Kernel Theory of Modern Data Augmentation
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
27
190
0
16 Mar 2018
Blocking Transferability of Adversarial Examples in Black-Box Learning
  Systems
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems
Hossein Hosseini
Yize Chen
Sreeram Kannan
Baosen Zhang
Radha Poovendran
AAML
30
106
0
13 Mar 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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