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Towards Better Analysis of Deep Convolutional Neural Networks

Towards Better Analysis of Deep Convolutional Neural Networks

24 April 2016
Mengchen Liu
Jiaxin Shi
Zerui Li
Chongxuan Li
Jun Zhu
Shixia Liu
    HAI
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Papers citing "Towards Better Analysis of Deep Convolutional Neural Networks"

12 / 62 papers shown
Title
Learning with Interpretable Structure from Gated RNN
Learning with Interpretable Structure from Gated RNN
Bo-Jian Hou
Zhi-Hua Zhou
AI4CE
21
69
0
25 Oct 2018
A User-based Visual Analytics Workflow for Exploratory Model Analysis
A User-based Visual Analytics Workflow for Exploratory Model Analysis
Dylan Cashman
S. Humayoun
Florian Heimerl
Kendall Park
Subhajit Das
...
Abigail Mosca
J. Stasko
Alex Endert
Michael Gleicher
Remco Chang
21
41
0
27 Sep 2018
Evaluating the Readability of Force Directed Graph Layouts: A Deep
  Learning Approach
Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach
Hammad Haleem
Y. Wang
Abishek Puri
Sahil Wadhwa
Huamin Qu
GNN
13
43
0
02 Aug 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules
RuleMatrix: Visualizing and Understanding Classifiers with Rules
Yao Ming
Huamin Qu
E. Bertini
FAtt
20
214
0
17 Jul 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent
  Neural Networks on Electronic Medical Records
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon
Min-Je Choi
J. Kim
Edward Choi
Young Bin Kim
Soonwook Kwon
Jimeng Sun
Jaegul Choo
25
251
0
28 May 2018
Do Convolutional Neural Networks Learn Class Hierarchy?
Do Convolutional Neural Networks Learn Class Hierarchy?
B. Alsallakh
Amin Jourabloo
Mao Ye
Xiaoming Liu
Liu Ren
42
210
0
17 Oct 2017
CNNComparator: Comparative Analytics of Convolutional Neural Networks
CNNComparator: Comparative Analytics of Convolutional Neural Networks
Haipeng Zeng
Hammad Haleem
Xavier Plantaz
Nan Cao
Huamin Qu
22
31
0
15 Oct 2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial
  Examples
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples
Yinpeng Dong
Hang Su
Jun Zhu
Fan Bao
AAML
28
126
0
18 Aug 2017
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
Minsuk Kahng
Pierre Yves Andrews
Aditya Kalro
Duen Horng Chau
HAI
15
322
0
06 Apr 2017
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
Towards Better Analysis of Machine Learning Models: A Visual Analytics
  Perspective
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective
Shixia Liu
Xiting Wang
Mengchen Liu
Jun Zhu
HAI
16
363
0
04 Feb 2017
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
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