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Investigating the Impact of Model Instability on Explanations and
  Uncertainty

Investigating the Impact of Model Instability on Explanations and Uncertainty

20 February 2024
Sara Vera Marjanović
Isabelle Augenstein
Christina Lioma
    AAML
ArXivPDFHTML

Papers citing "Investigating the Impact of Model Instability on Explanations and Uncertainty"

3 / 3 papers shown
Title
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
BERT & Family Eat Word Salad: Experiments with Text Understanding
BERT & Family Eat Word Salad: Experiments with Text Understanding
Ashim Gupta
Giorgi Kvernadze
Vivek Srikumar
195
73
0
10 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1