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Tackling Interpretability in Audio Classification Networks with
  Non-negative Matrix Factorization

Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization

11 May 2023
Jayneel Parekh
Sanjeel Parekh
Pavlo Mozharovskyi
Gaël Richard
Florence dÁlché-Buc
ArXivPDFHTML

Papers citing "Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization"

2 / 2 papers shown
Title
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
227
201
0
06 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
1