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Efficient and Sparse Neural Networks by Pruning Weights in a
  Multiobjective Learning Approach

Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach

31 August 2020
Malena Reiners
K. Klamroth
Michael Stiglmayr
ArXivPDFHTML

Papers citing "Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach"

2 / 2 papers shown
Title
PINN Training using Biobjective Optimization: The Trade-off between Data
  Loss and Residual Loss
PINN Training using Biobjective Optimization: The Trade-off between Data Loss and Residual Loss
Fabian Heldmann
Sarah Treibert
Matthias Ehrhardt
K. Klamroth
38
20
0
03 Feb 2023
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic
  Multi-Objective Approach
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach
Suyun Liu
Luis Nunes Vicente
FaML
23
68
0
03 Aug 2020
1