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Multifaceted Feature Visualization: Uncovering the Different Types of
  Features Learned By Each Neuron in Deep Neural Networks

Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

11 February 2016
Anh Totti Nguyen
J. Yosinski
Jeff Clune
ArXivPDFHTML

Papers citing "Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks"

9 / 59 papers shown
Title
Improving Interpretability of Deep Neural Networks with Semantic
  Information
Improving Interpretability of Deep Neural Networks with Semantic Information
Yinpeng Dong
Hang Su
Jun Zhu
Bo Zhang
27
122
0
12 Mar 2017
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
Interpreting the Predictions of Complex ML Models by Layer-wise
  Relevance Propagation
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation
Wojciech Samek
G. Montavon
Alexander Binder
Sebastian Lapuschkin
K. Müller
FAtt
AI4CE
31
48
0
24 Nov 2016
Understanding Convolutional Neural Networks with A Mathematical Model
Understanding Convolutional Neural Networks with A Mathematical Model
C.-C. Jay Kuo
FAtt
21
370
0
14 Sep 2016
Identifying individual facial expressions by deconstructing a neural
  network
Identifying individual facial expressions by deconstructing a neural network
F. Arbabzadah
G. Montavon
K. Müller
Wojciech Samek
CVBM
FAtt
30
31
0
23 Jun 2016
The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
19
5
0
30 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu
Jiaxin Shi
Zerui Li
Chongxuan Li
Jun Zhu
Shixia Liu
HAI
34
470
0
24 Apr 2016
Representation of linguistic form and function in recurrent neural
  networks
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár
Grzegorz Chrupała
A. Alishahi
27
162
0
29 Feb 2016
Generic decoding of seen and imagined objects using hierarchical visual
  features
Generic decoding of seen and imagined objects using hierarchical visual features
T. Horikawa
Y. Kamitani
17
443
0
22 Oct 2015
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