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Can deep learning help you find the perfect match?
v1v2 (latest)

Can deep learning help you find the perfect match?

2 May 2015
H. D. Vries
J. Yosinski
    HAI
ArXiv (abs)PDFHTML

Papers citing "Can deep learning help you find the perfect match?"

12 / 12 papers shown
Title
Facial Attractiveness Prediction in Live Streaming: A New Benchmark and Multi-modal Method
Haoyang Li
Xiaoyu Ren
Hongjiu Yu
Huiyu Duan
Kai Li
Ying Chen
Libo Wang
Xiongkuo Min
Guangtao Zhai
Xu Liu
CVBM
153
0
0
05 Jan 2025
Blocks and Fuel: Frameworks for deep learning
Blocks and Fuel: Frameworks for deep learning
B. V. Merrienboer
Dzmitry Bahdanau
Vincent Dumoulin
Dmitriy Serdyuk
David Warde-Farley
J. Chorowski
Yoshua Bengio
MoE
63
187
0
01 Jun 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
463
43,305
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,625
0
06 Feb 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
231
8,336
0
06 Nov 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
477
43,658
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
100,386
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
274
14,711
0
20 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
153
5,007
0
21 Dec 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
186
4,950
0
06 Oct 2013
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
94
1,420
0
23 Nov 2012
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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