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A Formal Approach to Explainability

A Formal Approach to Explainability

15 January 2020
Lior Wolf
Tomer Galanti
Tamir Hazan
    FAtt
    GAN
ArXivPDFHTML

Papers citing "A Formal Approach to Explainability"

5 / 5 papers shown
Title
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
50
39
0
24 Oct 2022
Mitigating Covertly Unsafe Text within Natural Language Systems
Mitigating Covertly Unsafe Text within Natural Language Systems
Alex Mei
Anisha Kabir
Sharon Levy
Melanie Subbiah
Emily Allaway
J. Judge
D. Patton
Bruce Bimber
Kathleen McKeown
William Yang Wang
53
13
0
17 Oct 2022
On Tackling Explanation Redundancy in Decision Trees
On Tackling Explanation Redundancy in Decision Trees
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
48
58
0
20 May 2022
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
Thorben Funke
Megha Khosla
Mandeep Rathee
Avishek Anand
FAtt
23
38
0
18 May 2021
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
41
371
0
30 Apr 2020
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