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Multiobjective Evolutionary Pruning of Deep Neural Networks with
  Transfer Learning for improving their Performance and Robustness

Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness

20 February 2023
Javier Poyatos
Daniel Molina
Aitor Martínez
Javier Del Ser
Francisco Herrera
ArXivPDFHTML

Papers citing "Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness"

6 / 6 papers shown
Title
Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques
Muhammad Waseem
Chung-Hsuan Huang
Muhammad Muzzammil Sajjad
Laraib Haider Naqvi
Yaqoob Majeed
Tanzeel Ur Rehman
Tayyaba Nadeem
MQ
42
0
0
13 Mar 2025
Evolutionary Computation for the Design and Enrichment of
  General-Purpose Artificial Intelligence Systems: Survey and Prospects
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
Javier Poyatos
Javier Del Ser
Salvador Garcia
H. Ishibuchi
Daniel Molina
I. Triguero
Bing Xue
Xin Yao
Francisco Herrera
30
1
0
03 Jun 2024
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
136
679
0
31 Jan 2021
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
117
498
0
24 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
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