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Quantifying Explainability in NLP and Analyzing Algorithms for
  Performance-Explainability Tradeoff

Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff

12 July 2021
Michael J. Naylor
C. French
Samantha R. Terker
Uday Kamath
ArXivPDFHTML

Papers citing "Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff"

4 / 4 papers shown
Title
Exploring the Trade-off Between Model Performance and Explanation
  Plausibility of Text Classifiers Using Human Rationales
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas Resck
Marcos M. Raimundo
Jorge Poco
50
1
0
03 Apr 2024
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
285
2,017
0
28 Jul 2020
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
60
195
0
06 Apr 2017
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
284
31,267
0
16 Jan 2013
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