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Investigating and Simplifying Masking-based Saliency Methods for Model
  Interpretability

Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability

19 October 2020
Jason Phang
Jungkyu Park
Krzysztof J. Geras
    FAtt
    AAML
ArXivPDFHTML

Papers citing "Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability"

3 / 3 papers shown
Title
Opti-CAM: Optimizing saliency maps for interpretability
Opti-CAM: Optimizing saliency maps for interpretability
Hanwei Zhang
Felipe Torres
R. Sicre
Yannis Avrithis
Stéphane Ayache
30
22
0
17 Jan 2023
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
237
45
0
24 May 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
1