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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
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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
Yinpeng Dong
Hang Su
Jun Zhu
Bo Zhang
27
122
0
12 Mar 2017
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
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
C.-C. Jay Kuo
FAtt
21
370
0
14 Sep 2016
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
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
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
Ákos Kádár
Grzegorz Chrupała
A. Alishahi
27
162
0
29 Feb 2016
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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