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Sparse Subspace Clustering for Concept Discovery (SSCCD)

Sparse Subspace Clustering for Concept Discovery (SSCCD)

11 March 2022
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
ArXivPDFHTML

Papers citing "Sparse Subspace Clustering for Concept Discovery (SSCCD)"

6 / 6 papers shown
Title
Multi-dimensional concept discovery (MCD): A unifying framework with
  completeness guarantees
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
25
37
0
27 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding
  Relevant Subspaces
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
Pattarawat Chormai
J. Herrmann
Klaus-Robert Muller
G. Montavon
FAtt
43
17
0
30 Dec 2022
Revealing Hidden Context Bias in Segmentation and Object Detection
  through Concept-specific Explanations
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
Maximilian Dreyer
Reduan Achtibat
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
50
20
0
21 Nov 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
303
5,761
0
29 Apr 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
120
297
0
17 Oct 2019
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
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