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2012.01805
Cited By
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
3 December 2020
Ricards Marcinkevics
Julia E. Vogt
XAI
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Papers citing
"Interpretability and Explainability: A Machine Learning Zoo Mini-tour"
14 / 14 papers shown
Title
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
62
28
0
30 Aug 2024
Introducing Ínside' Out of Distribution
Teddy Lazebnik
29
1
0
05 Jul 2024
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction
Raja Farrukh Ali
Stephanie Milani
John Woods
Emmanuel Adenij
Ayesha Farooq
Clayton Mansel
Jeffrey Burns
William Hsu
24
0
0
11 Jun 2024
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
Joanna Komorniczak
Pawel Ksieniewicz
20
0
0
09 Feb 2024
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python
Joanna Komorniczak
Pawel Ksieniewicz
3DV
8
3
0
16 May 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
17
12
0
14 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Ryan Thompson
Amir Dezfouli
Robert Kohn
11
4
0
02 Feb 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
R. Heese
Thore Gerlach
Sascha Mucke
Sabine Muller
Matthias Jakobs
Nico Piatkowski
24
17
0
22 Jan 2023
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen
Varshini Subhash
Marton Havasi
Weiwei Pan
Finale Doshi-Velez
XAI
FAtt
14
17
0
10 Nov 2022
Sparse Visual Counterfactual Explanations in Image Space
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDL
CML
23
25
0
16 May 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Kacper Sokol
Peter A. Flach
18
20
0
29 Dec 2021
Ensembles of Random SHAPs
Lev V. Utkin
A. Konstantinov
FAtt
16
20
0
04 Mar 2021
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
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