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An Analysis of Unsupervised Pre-training in Light of Recent Advances
v1v2v3v4 (latest)

An Analysis of Unsupervised Pre-training in Light of Recent Advances

20 December 2014
T. Paine
Pooya Khorrami
Wei Han
Thomas S. Huang
    SSL
ArXiv (abs)PDFHTML

Papers citing "An Analysis of Unsupervised Pre-training in Light of Recent Advances"

9 / 9 papers shown
Title
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
144
1
0
18 Apr 2024
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
346
2,240
0
18 Sep 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
OODSSL
87
1,021
0
26 Jun 2014
Convolutional Kernel Networks
Convolutional Kernel Networks
Julien Mairal
Piotr Koniusz
Zaïd Harchaoui
Cordelia Schmid
92
380
0
12 Jun 2014
Zero-bias autoencoders and the benefits of co-adapting features
Zero-bias autoencoders and the benefits of co-adapting features
K. Konda
Roland Memisevic
David M. Krueger
AI4CE
80
92
0
13 Feb 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
291
6,279
0
16 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,193
0
11 Nov 2013
Pylearn2: a machine learning research library
Pylearn2: a machine learning research library
Ian Goodfellow
David Warde-Farley
Pascal Lamblin
Vincent Dumoulin
M. Berk Mirza
Razvan Pascanu
James Bergstra
Frédéric Bastien
Yoshua Bengio
MU
88
305
0
20 Aug 2013
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
453
7,663
0
03 Jul 2012
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