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Evaluating Saliency Methods for Neural Language Models

Evaluating Saliency Methods for Neural Language Models

12 April 2021
Shuoyang Ding
Philipp Koehn
    FAttXAI
ArXiv (abs)PDFHTML

Papers citing "Evaluating Saliency Methods for Neural Language Models"

46 / 46 papers shown
Title
Debugging Tests for Model Explanations
Debugging Tests for Model Explanations
Julius Adebayo
M. Muelly
Ilaria Liccardi
Been Kim
FAtt
66
181
0
10 Nov 2020
Evaluating Attribution Methods using White-Box LSTMs
Evaluating Attribution Methods using White-Box LSTMs
Sophie Hao
FAttXAI
56
8
0
16 Oct 2020
The elephant in the interpretability room: Why use attention as
  explanation when we have saliency methods?
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?
Jasmijn Bastings
Katja Filippova
XAILRM
95
178
0
12 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification
A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
XAIFAtt
81
224
0
25 Sep 2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
Yong Cheng
Lu Jiang
Wolfgang Macherey
Jacob Eisenstein
70
117
0
21 Jun 2020
Evaluating Explanation Methods for Neural Machine Translation
Evaluating Explanation Methods for Neural Machine Translation
Jierui Li
Lemao Liu
Huayang Li
Guanlin Li
Guoping Huang
Shuming Shi
44
23
0
04 May 2020
Towards Faithfully Interpretable NLP Systems: How should we define and
  evaluate faithfulness?
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi
Yoav Goldberg
XAI
124
597
0
07 Apr 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ERASER: A Benchmark to Evaluate Rationalized NLP Models
Jay DeYoung
Sarthak Jain
Nazneen Rajani
Eric P. Lehman
Caiming Xiong
R. Socher
Byron C. Wallace
119
638
0
08 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
234
7,520
0
02 Oct 2019
Analysing Neural Language Models: Contextual Decomposition Reveals
  Default Reasoning in Number and Gender Assignment
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment
Jaap Jumelet
Willem H. Zuidema
Dieuwke Hupkes
LRM
62
37
0
19 Sep 2019
Saliency-driven Word Alignment Interpretation for Neural Machine
  Translation
Saliency-driven Word Alignment Interpretation for Neural Machine Translation
Shuoyang Ding
Hainan Xu
Philipp Koehn
72
55
0
25 Jun 2019
Robust Neural Machine Translation with Doubly Adversarial Inputs
Robust Neural Machine Translation with Doubly Adversarial Inputs
Yong Cheng
Lu Jiang
Wolfgang Macherey
AAML
66
255
0
06 Jun 2019
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
180
861
0
15 May 2019
BERT Rediscovers the Classical NLP Pipeline
BERT Rediscovers the Classical NLP Pipeline
Ian Tenney
Dipanjan Das
Ellie Pavlick
MILMSSeg
138
1,476
0
15 May 2019
Evaluating Recurrent Neural Network Explanations
Evaluating Recurrent Neural Network Explanations
L. Arras
Ahmed Osman
K. Müller
Wojciech Samek
XAIFAtt
74
88
0
26 Apr 2019
Probing What Different NLP Tasks Teach Machines about Function Word
  Comprehension
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
Najoung Kim
Roma Patel
Adam Poliak
Alex Jinpeng Wang
Patrick Xia
...
Alexis Ross
Tal Linzen
Benjamin Van Durme
Samuel R. Bowman
Ellie Pavlick
68
107
0
25 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLMFaML
111
3,151
0
01 Apr 2019
Fooling Neural Network Interpretations via Adversarial Model
  Manipulation
Fooling Neural Network Interpretations via Adversarial Model Manipulation
Juyeon Heo
Sunghwan Joo
Taesup Moon
AAMLFAtt
95
204
0
06 Feb 2019
On the (In)fidelity and Sensitivity for Explanations
On the (In)fidelity and Sensitivity for Explanations
Chih-Kuan Yeh
Cheng-Yu Hsieh
A. Suggala
David I. Inouye
Pradeep Ravikumar
FAtt
75
454
0
27 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
250
3,730
0
09 Jan 2019
Analysis Methods in Neural Language Processing: A Survey
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
James R. Glass
82
557
0
21 Dec 2018
Sanity Checks for Saliency Maps
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAttAAMLXAI
141
1,970
0
08 Oct 2018
Adaptive Input Representations for Neural Language Modeling
Adaptive Input Representations for Neural Language Modeling
Alexei Baevski
Michael Auli
104
390
0
28 Sep 2018
Targeted Syntactic Evaluation of Language Models
Targeted Syntactic Evaluation of Language Models
Rebecca Marvin
Tal Linzen
81
416
0
27 Aug 2018
A Benchmark for Interpretability Methods in Deep Neural Networks
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker
D. Erhan
Pieter-Jan Kindermans
Been Kim
FAttUQCV
111
682
0
28 Jun 2018
Did the Model Understand the Question?
Did the Model Understand the Question?
Pramod Kaushik Mudrakarta
Ankur Taly
Mukund Sundararajan
Kedar Dhamdhere
ELMOODFAtt
56
199
0
14 May 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
347
895
0
03 May 2018
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
412
933
0
21 Apr 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
122
941
0
18 Apr 2018
Interpretation of Neural Networks is Fragile
Interpretation of Neural Networks is Fragile
Amirata Ghorbani
Abubakar Abid
James Zou
FAttAAML
133
867
0
29 Oct 2017
Regularizing and Optimizing LSTM Language Models
Regularizing and Optimizing LSTM Language Models
Stephen Merity
N. Keskar
R. Socher
166
1,096
0
07 Aug 2017
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
L. Arras
G. Montavon
K. Müller
Wojciech Samek
FAtt
61
354
0
22 Jun 2017
SmoothGrad: removing noise by adding noise
SmoothGrad: removing noise by adding noise
D. Smilkov
Nikhil Thorat
Been Kim
F. Viégas
Martin Wattenberg
FAttODL
204
2,226
0
12 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
722
132,199
0
12 Jun 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
188
6,015
0
04 Mar 2017
Understanding Neural Networks through Representation Erasure
Understanding Neural Networks through Representation Erasure
Jiwei Li
Will Monroe
Dan Jurafsky
AAMLMILM
91
567
0
24 Dec 2016
Quasi-Recurrent Neural Networks
Quasi-Recurrent Neural Networks
James Bradbury
Stephen Merity
Caiming Xiong
R. Socher
170
443
0
05 Nov 2016
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
328
2,876
0
26 Sep 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
64
546
0
15 Aug 2016
Explaining Predictions of Non-Linear Classifiers in NLP
Explaining Predictions of Non-Linear Classifiers in NLP
L. Arras
F. Horn
G. Montavon
K. Müller
Wojciech Samek
FAtt
76
117
0
23 Jun 2016
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
183
3,706
0
10 Jun 2016
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
706
0
02 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Extraction of Salient Sentences from Labelled Documents
Extraction of Salient Sentences from Labelled Documents
Misha Denil
Alban Demiraj
Nando de Freitas
73
137
0
21 Dec 2014
Salient Object Detection: A Discriminative Regional Feature Integration
  Approach
Salient Object Detection: A Discriminative Regional Feature Integration Approach
Huaizu Jiang
Zejian Yuan
Ming-Ming Cheng
Yihong Gong
Nanning Zheng
Jingdong Wang
FAtt
103
1,270
0
22 Oct 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
312
7,308
0
20 Dec 2013
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