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Cockpit: A Practical Debugging Tool for the Training of Deep Neural
  Networks
v1v2 (latest)

Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks

Neural Information Processing Systems (NeurIPS), 2021
12 February 2021
Frank Schneider
Felix Dangel
Philipp Hennig
ArXiv (abs)PDFHTML

Papers citing "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"

3 / 3 papers shown
Position: Curvature Matrices Should Be Democratized via Linear Operators
Position: Curvature Matrices Should Be Democratized via Linear Operators
Felix Dangel
Runa Eschenhagen
Weronika Ormaniec
Andres Fernandez
Lukas Tatzel
Agustinus Kristiadi
437
8
0
31 Jan 2025
Going Further: Flatness at the Rescue of Early Stopping for Adversarial
  Example Transferability
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability
Martin Gubri
Maxime Cordy
Yves Le Traon
AAML
277
3
1
05 Apr 2023
ViViT: Curvature access through the generalized Gauss-Newton's low-rank
  structure
ViViT: Curvature access through the generalized Gauss-Newton's low-rank structure
Felix Dangel
Lukas Tatzel
Philipp Hennig
238
14
0
04 Jun 2021
1
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