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Identifying individual facial expressions by deconstructing a neural
network

v1v2 (latest)

Identifying individual facial expressions by deconstructing a neural network

German Conference on Pattern Recognition (DAGM), 2016

23 June 2016

ArXiv (abs)PDF HTML

Papers citing "Identifying individual facial expressions by deconstructing a neural network"

9 / 9 papers shown

Towards Robust Explanations for Deep Neural Networks

Towards Robust Explanations for Deep Neural NetworksPattern Recognition (Pattern Recognit.), 2020

Ann-Kathrin Dombrowski

Christopher J. Anders

221

66

0

18 Dec 2020

The MAMe Dataset: On the relevance of High Resolution and Variable Shape
image properties

The MAMe Dataset: On the relevance of High Resolution and Variable Shape image properties

Anna Arias-Duart

Dario Garcia-Gasulla

Gema Campo-Francés

Eduard Ayguadé

288

9

0

27 Jul 2020

Towards Interpretable Deep Learning Models for Knowledge Tracing

Towards Interpretable Deep Learning Models for Knowledge Tracing

159

41

0

13 May 2020

Unmasking Clever Hans Predictors and Assessing What Machines Really
Learn

Unmasking Clever Hans Predictors and Assessing What Machines Really LearnNature Communications (Nat Commun), 2019

Sebastian Lapuschkin

Alexander Binder

355

1,116

0

26 Feb 2019

How do Convolutional Neural Networks Learn Design?

How do Convolutional Neural Networks Learn Design?

Brian Kenji Iwana

132

16

0

25 Aug 2018

Understanding and Comparing Deep Neural Networks for Age and Gender
Classification

Understanding and Comparing Deep Neural Networks for Age and Gender Classification

Sebastian Lapuschkin

Alexander Binder

163

141

0

25 Aug 2017

Methods for Interpreting and Understanding Deep Neural Networks

Methods for Interpreting and Understanding Deep Neural Networks

496

2,436

0

24 Jun 2017

"What is Relevant in a Text Document?": An Interpretable Machine
Learning Approach

"What is Relevant in a Text Document?": An Interpretable Machine Learning ApproachPLoS ONE (PLOS ONE), 2016

188

295

0

23 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

Alexander Binder

Sebastian Lapuschkin

208

55

0

24 Nov 2016