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An Empirical Comparison of Instance Attribution Methods for NLP

An Empirical Comparison of Instance Attribution Methods for NLP

9 April 2021
Pouya Pezeshkpour
Sarthak Jain
Byron C. Wallace
Sameer Singh
    TDI
ArXiv (abs)PDFHTMLGithub (17★)

Papers citing "An Empirical Comparison of Instance Attribution Methods for NLP"

16 / 16 papers shown
Title
Input Similarity from the Neural Network Perspective
Input Similarity from the Neural Network Perspective
Guillaume Charpiat
N. Girard
Loris Felardos
Y. Tarabalka
95
75
0
10 Feb 2021
Explaining and Improving Model Behavior with k Nearest Neighbor
  Representations
Explaining and Improving Model Behavior with k Nearest Neighbor Representations
Nazneen Rajani
Ben Krause
Wengpeng Yin
Tong Niu
R. Socher
Caiming Xiong
FAtt
59
33
0
18 Oct 2020
Influence Functions in Deep Learning Are Fragile
Influence Functions in Deep Learning Are Fragile
S. Basu
Phillip E. Pope
Soheil Feizi
TDI
130
237
0
25 Jun 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through
  Influence Functions
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
Xiaochuang Han
Byron C. Wallace
Yulia Tsvetkov
MILMFAttAAMLTDI
79
174
0
14 May 2020
RelatIF: Identifying Explanatory Training Examples via Relative
  Influence
RelatIF: Identifying Explanatory Training Examples via Relative Influence
Elnaz Barshan
Marc-Etienne Brunet
Gintare Karolina Dziugaite
TDI
130
30
0
25 Mar 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,316
0
27 Aug 2019
Investigating Robustness and Interpretability of Link Prediction via
  Adversarial Modifications
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
Pouya Pezeshkpour
Yifan Tian
Sameer Singh
KELMAAML
106
73
0
02 May 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
143
1,244
0
04 Feb 2019
Representer Point Selection for Explaining Deep Neural Networks
Representer Point Selection for Explaining Deep Neural Networks
Chih-Kuan Yeh
Joon Sik Kim
Ian En-Hsu Yen
Pradeep Ravikumar
TDI
94
254
0
23 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
Explaining Explanations: An Overview of Interpretability of Machine
  Learning
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
XAI
112
1,865
0
31 May 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
524
4,497
0
18 Apr 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
219
2,910
0
14 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
193
6,027
0
04 Mar 2017
"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
17,071
0
16 Feb 2016
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