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New Definitions and Evaluations for Saliency Methods: Staying Intrinsic,
  Complete and Sound

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound

5 November 2022
Arushi Gupta
Nikunj Saunshi
Dingli Yu
Kaifeng Lyu
Sanjeev Arora
    AAML
    FAtt
    XAI
ArXivPDFHTML

Papers citing "New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound"

3 / 3 papers shown
Title
Evaluating Saliency Explanations in NLP by Crowdsourcing
Evaluating Saliency Explanations in NLP by Crowdsourcing
Xiaotian Lu
Jiyi Li
Zhen Wan
Xiaofeng Lin
Koh Takeuchi
Hisashi Kashima
XAI
FAtt
LRM
27
1
0
17 May 2024
Investigating and Simplifying Masking-based Saliency Methods for Model
  Interpretability
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability
Jason Phang
Jungkyu Park
Krzysztof J. Geras
FAtt
AAML
221
7
0
19 Oct 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
1