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Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

22 June 2017
L. Arras
G. Montavon
K. Müller
Wojciech Samek
    FAtt
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Papers citing "Explaining Recurrent Neural Network Predictions in Sentiment Analysis"

14 / 64 papers shown
Title
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Tian Guo
Tao R. Lin
Nino Antulov-Fantulin
AI4TS
26
154
0
28 May 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
Learning Finite State Representations of Recurrent Policy Networks
Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul
S. Greydanus
Alan Fern
19
88
0
29 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis
An Overview of Computational Approaches for Interpretation Analysis
Philipp Blandfort
Jörn Hees
D. Patton
21
2
0
09 Nov 2018
Extractive Adversarial Networks: High-Recall Explanations for
  Identifying Personal Attacks in Social Media Posts
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
Samuel Carton
Qiaozhu Mei
Paul Resnick
FAtt
AAML
19
34
0
01 Sep 2018
Pyramidal Recurrent Unit for Language Modeling
Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta
Rik Koncel-Kedziorski
Mohammad Rastegari
Hannaneh Hajishirzi
21
10
0
27 Aug 2018
Layer-wise Relevance Propagation for Explainable Recommendations
Layer-wise Relevance Propagation for Explainable Recommendations
Homanga Bharadhwaj
FAtt
21
8
0
17 Jul 2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction
Visualizing and Understanding Deep Neural Networks in CTR Prediction
Lin Guo
Hui Ye
Wenbo Su
He Liu
Kai Sun
Hang Xiang
FAtt
HAI
10
7
0
22 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina
Michael Gillhofer
Michael Widrich
Thomas Unterthiner
Johannes Brandstetter
Sepp Hochreiter
30
212
0
20 Jun 2018
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in
  Web Argumentation
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation
Ivan Habernal
Henning Wachsmuth
Iryna Gurevych
Benno Stein
36
83
0
19 Feb 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
Understanding intermediate layers using linear classifier probes
Understanding intermediate layers using linear classifier probes
Guillaume Alain
Yoshua Bengio
FAtt
53
894
0
05 Oct 2016
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