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Augmenting Supervised Neural Networks with Unsupervised Objectives for
  Large-scale Image Classification

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification

21 June 2016
Y. Zhang
Kibok Lee
Honglak Lee
    SSL
ArXiv (abs)PDFHTML

Papers citing "Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification"

18 / 18 papers shown
Title
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,774
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,453
0
02 Dec 2015
Deconstructing the Ladder Network Architecture
Deconstructing the Ladder Network Architecture
Mohammad Pezeshki
Linxi Fan
Philemon Brakel
Aaron Courville
Yoshua Bengio
85
98
0
19 Nov 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
111
1,373
0
09 Jul 2015
Inverting Visual Representations with Convolutional Networks
Inverting Visual Representations with Convolutional Networks
Alexey Dosovitskiy
Thomas Brox
SSLFAtt
106
668
0
09 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffMBDL
113
258
0
08 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
181
2,792
0
19 May 2015
Training Deeper Convolutional Networks with Deep Supervision
Training Deeper Convolutional Networks with Deep Supervision
Liwei Wang
Chen-Yu Lee
Zhuowen Tu
Svetlana Lazebnik
70
194
0
11 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
471
43,368
0
11 Feb 2015
From neural PCA to deep unsupervised learning
From neural PCA to deep unsupervised learning
Harri Valpola
BDL
95
185
0
28 Nov 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
138
1,968
0
26 Nov 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
354
2,244
0
18 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
509
43,732
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,622
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
303
14,717
0
20 Jun 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
616
15,913
0
12 Nov 2013
Fast Inference in Sparse Coding Algorithms with Applications to Object
  Recognition
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Koray Kavukcuoglu
MarcÁurelio Ranzato
Yann LeCun
117
247
0
18 Oct 2010
Supervised Dictionary Learning
Supervised Dictionary Learning
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
Andrew Zisserman
85
1,188
0
18 Sep 2008
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