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Auto-tuning of Deep Neural Networks by Conflicting Layer Removal

Auto-tuning of Deep Neural Networks by Conflicting Layer Removal

7 March 2021
David Peer
Sebastian Stabinger
A. Rodríguez-Sánchez
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "Auto-tuning of Deep Neural Networks by Conflicting Layer Removal"

3 / 3 papers shown
Title
Improving the Trainability of Deep Neural Networks through Layerwise
  Batch-Entropy Regularization
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization
David Peer
Bart Keulen
Sebastian Stabinger
J. Piater
A. Rodríguez-Sánchez
46
6
0
01 Aug 2022
Training Deep Capsule Networks with Residual Connections
Training Deep Capsule Networks with Residual Connections
Josef Gugglberger
David Peer
A. Rodríguez-Sánchez
3DPCMedIm
21
11
0
15 Apr 2021
Evaluating the Progress of Deep Learning for Visual Relational Concepts
Evaluating the Progress of Deep Learning for Visual Relational Concepts
Sebastian Stabinger
Peer David
J. Piater
A. Rodríguez-Sánchez
79
19
0
29 Jan 2020
1