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Explaining Natural Language Processing Classifiers with Occlusion and
  Language Modeling

Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling

28 January 2021
David Harbecke
    AAML
ArXiv (abs)PDFHTML

Papers citing "Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling"

14 / 64 papers shown
Title
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,033
0
16 Feb 2016
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
270
6,130
0
04 Sep 2015
Aligning Books and Movies: Towards Story-like Visual Explanations by
  Watching Movies and Reading Books
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Yukun Zhu
Ryan Kiros
R. Zemel
Ruslan Salakhutdinov
R. Urtasun
Antonio Torralba
Sanja Fidler
136
2,555
0
22 Jun 2015
Visualizing and Understanding Neural Models in NLP
Visualizing and Understanding Neural Models in NLP
Jiwei Li
Xinlei Chen
Eduard H. Hovy
Dan Jurafsky
MILMFAtt
81
707
0
02 Jun 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
214
1,593
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
263
1,200
0
30 Nov 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,327
0
01 Sep 2014
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILawVLM
641
13,432
0
25 Aug 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
314
7,317
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,904
0
12 Nov 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
687
31,553
0
16 Jan 2013
Multi-column Deep Neural Networks for Image Classification
Multi-column Deep Neural Networks for Image Classification
D. Ciresan
U. Meier
Jürgen Schmidhuber
170
3,944
0
13 Feb 2012
How to Explain Individual Classification Decisions
How to Explain Individual Classification Decisions
D. Baehrens
T. Schroeter
Stefan Harmeling
M. Kawanabe
K. Hansen
K. Müller
FAtt
140
1,104
0
06 Dec 2009
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