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What made you do this? Understanding black-box decisions with sufficient
  input subsets

What made you do this? Understanding black-box decisions with sufficient input subsets

9 October 2018
Brandon Carter
Jonas W. Mueller
Siddhartha Jain
David K Gifford
    FAtt
ArXivPDFHTML

Papers citing "What made you do this? Understanding black-box decisions with sufficient input subsets"

11 / 11 papers shown
Title
Succinct Interaction-Aware Explanations
Succinct Interaction-Aware Explanations
Sascha Xu
Joscha Cuppers
Jilles Vreeken
FAtt
8
0
0
08 Feb 2024
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
23
10
0
01 Dec 2022
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance
  Data
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data
Tomás Pevný
Viliam Lisý
B. Bosanský
P. Somol
Michal Pěchouček
17
1
0
04 Aug 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
24
37
0
02 Jun 2022
Toward Learning Human-aligned Cross-domain Robust Models by Countering
  Misaligned Features
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
125
16
0
05 Nov 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test
  Accuracy
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
Lucas Liebenwein
Cenk Baykal
Brandon Carter
David K Gifford
Daniela Rus
AAML
24
71
0
04 Mar 2021
Generative causal explanations of black-box classifiers
Generative causal explanations of black-box classifiers
Matthew R. O’Shaughnessy
Gregory H. Canal
Marissa Connor
Mark A. Davenport
Christopher Rozell
CML
17
73
0
24 Jun 2020
Evaluating and Aggregating Feature-based Model Explanations
Evaluating and Aggregating Feature-based Model Explanations
Umang Bhatt
Adrian Weller
J. M. F. Moura
XAI
25
219
0
01 May 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
30
120
0
26 Mar 2020
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Oana-Maria Camburu
Eleonora Giunchiglia
Jakob N. Foerster
Thomas Lukasiewicz
Phil Blunsom
FAtt
AAML
19
59
0
04 Oct 2019
Learning Attitudes and Attributes from Multi-Aspect Reviews
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley
J. Leskovec
Dan Jurafsky
195
296
0
15 Oct 2012
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