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Understanding and Comparing Deep Neural Networks for Age and Gender
  Classification

Understanding and Comparing Deep Neural Networks for Age and Gender Classification

25 August 2017
Sebastian Lapuschkin
Alexander Binder
K. Müller
Wojciech Samek
    CVBM
ArXivPDFHTML

Papers citing "Understanding and Comparing Deep Neural Networks for Age and Gender Classification"

12 / 12 papers shown
Title
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals
  Learned Features Similar to Diagnostic Criteria
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria
Theresa Bender
J. Beinecke
D. Krefting
Carolin Müller
Henning Dathe
T. Seidler
Nicolai Spicher
Anne-Christin Hauschild
FAtt
16
26
0
03 Nov 2022
Maximum Entropy Baseline for Integrated Gradients
Maximum Entropy Baseline for Integrated Gradients
Hanxiao Tan
FAtt
18
4
0
12 Apr 2022
Toward Explainable AI for Regression Models
Toward Explainable AI for Regression Models
S. Letzgus
Patrick Wagner
Jonas Lederer
Wojciech Samek
Klaus-Robert Muller
G. Montavon
XAI
32
63
0
21 Dec 2021
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
44
82
0
17 Mar 2020
When Explanations Lie: Why Many Modified BP Attributions Fail
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt
Maximilian Granz
Tim Landgraf
BDL
FAtt
XAI
13
132
0
20 Dec 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP
Towards Best Practice in Explaining Neural Network Decisions with LRP
M. Kohlbrenner
Alexander Bauer
Shinichi Nakajima
Alexander Binder
Wojciech Samek
Sebastian Lapuschkin
22
148
0
22 Oct 2019
Explaining and Interpreting LSTMs
Explaining and Interpreting LSTMs
L. Arras
Jose A. Arjona-Medina
Michael Widrich
G. Montavon
Michael Gillhofer
K. Müller
Sepp Hochreiter
Wojciech Samek
FAtt
AI4TS
21
79
0
25 Sep 2019
Software and application patterns for explanation methods
Software and application patterns for explanation methods
Maximilian Alber
33
11
0
09 Apr 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really
  Learn
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
17
996
0
26 Feb 2019
Understanding Individual Decisions of CNNs via Contrastive
  Backpropagation
Understanding Individual Decisions of CNNs via Contrastive Backpropagation
Jindong Gu
Yinchong Yang
Volker Tresp
FAtt
17
94
0
05 Dec 2018
Explaining the Unique Nature of Individual Gait Patterns with Deep
  Learning
Explaining the Unique Nature of Individual Gait Patterns with Deep Learning
Fabian Horst
Sebastian Lapuschkin
Wojciech Samek
K. Müller
W. Schöllhorn
AI4CE
28
207
0
13 Aug 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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