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2203.02586
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Concept-based Explanations for Out-Of-Distribution Detectors
International Conference on Machine Learning (ICML), 2022
4 March 2022
Jihye Choi
Jayaram Raghuram
Ryan Feng
Jiefeng Chen
S. Jha
Atul Prakash
OODD
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Papers citing
"Concept-based Explanations for Out-Of-Distribution Detectors"
13 / 13 papers shown
Explainable Visual Anomaly Detection via Concept Bottleneck Models
Arianna Stropeni
Valentina Zaccaria
Francesco Borsatti
Davide Dalle Pezze
Manuel Barusco
Gian Antonio Susto
AAML
213
0
0
25 Nov 2025
ConceptFlow: Hierarchical and Fine-grained Concept-Based Explanation for Convolutional Neural Networks
Xinyu Mu
Hui Dou
Jian Zhao
Furao Shen
275
0
0
16 Sep 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
M. Zarlenga
Gabriele Dominici
Pietro Barbiero
Z. Shams
M. Jamnik
KELM
1.2K
8
0
24 Apr 2025
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi
Jayaram Raghuram
Shouqing Yang
Somesh Jha
347
9
0
18 Dec 2024
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules
Lev V. Utkin
A. Konstantinov
Stanislav R. Kirpichenko
400
2
0
28 Jun 2024
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
Christine P. Lee
M. Lee
Bilge Mutlu
HAI
294
12
0
26 May 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning
A. Konstantinov
Lev V. Utkin
315
5
0
22 Feb 2024
Concept-based Explainable Artificial Intelligence: A Survey
Eleonora Poeta
Gabriele Ciravegna
Eliana Pastor
Tania Cerquitelli
Elena Baralis
LRM
XAI
392
106
0
20 Dec 2023
Estimation of Concept Explanations Should be Uncertainty Aware
Vihari Piratla
Juyeon Heo
Katherine M. Collins
Sukriti Singh
Adrian Weller
307
2
0
13 Dec 2023
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
Maximilian Dreyer
Reduan Achtibat
Wojciech Samek
Sebastian Lapuschkin
246
26
0
28 Nov 2023
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts
Anirban Sarkar
Matthew Groth
I. Mason
Tomotake Sasaki
Xavier Boix
301
1
0
17 Mar 2023
Assessing Out-of-Domain Language Model Performance from Few Examples
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Prasann Singhal
Jarad Forristal
Xi Ye
Greg Durrett
LRM
251
6
0
13 Oct 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
2.7K
21,359
0
16 Feb 2016
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