Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1411.1792
Cited By
How transferable are features in deep neural networks?
6 November 2014
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
Re-assign community
ArXiv
PDF
HTML
Papers citing
"How transferable are features in deep neural networks?"
8 / 58 papers shown
Title
Disentangled Representations in Neural Models
William F. Whitney
OOD
OCL
DRL
73
18
0
07 Feb 2016
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Guosen Xie
Xu-Yao Zhang
Shuicheng Yan
Cheng-Lin Liu
ObjD
42
150
0
29 Jan 2016
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
190
14,703
0
20 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
127
4,999
0
21 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
321
15,825
0
12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
222
26,122
0
11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
153
4,946
0
06 Oct 2013
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
380
7,650
0
03 Jul 2012
Previous
1
2