On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data

Author:

Kalina Jan1,Tumpach Jiri2,Holena Martin1

Affiliation:

1. Institute of Computer Science,The Czech Academy of Sciences,Prague,Czech Republic

2. The Czech Academy of Sciences, Institute of Computer Science & Charles University,Faculty of Mathematics and Physics,Prague,Czech Republic

Funder

Czech Science Foundation

Charles University Grant Agency

German Research Foundation

Publisher

IEEE

Reference39 articles.

1. Efficient Processing of Deep Neural Networks: A Tutorial and Survey

2. PROBENI1A set of neural network benchmark problems and benchmarking rules;prechelt;Fakultät für Informatik,1994

3. A comparison of regularization techniques for shallow neural networks trained on small datasets;tumpach;Proceedings of the 21st Conference Information Technologies-Applications and Theory (ITAT 2021),0

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