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Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency
  Methods

Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods

15 November 2022
Josip Jukić
Martin Tutek
Jan Snajder
    FAtt
ArXivPDFHTML

Papers citing "Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods"

3 / 3 papers shown
Title
"Will You Find These Shortcuts?" A Protocol for Evaluating the
  Faithfulness of Input Salience Methods for Text Classification
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Jasmijn Bastings
Sebastian Ebert
Polina Zablotskaia
Anders Sandholm
Katja Filippova
115
75
0
14 Nov 2021
Evaluating the Faithfulness of Importance Measures in NLP by Recursively
  Masking Allegedly Important Tokens and Retraining
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
Andreas Madsen
Nicholas Meade
Vaibhav Adlakha
Siva Reddy
96
35
0
15 Oct 2021
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
255
620
0
04 Dec 2018
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