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07/28/2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search
In this work, we show that simultaneously training and mixing neural net...
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06/02/2023
Multi-Objective Population Based Training
Population Based Training (PBT) is an efficient hyperparameter optimizat...
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02/24/2022
Data variation-aware medical image segmentation
Deep learning algorithms have become the golden standard for segmentatio...
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02/23/2022
Mixed-Block Neural Architecture Search for Medical Image Segmentation
Deep Neural Networks (DNNs) have the potential for making various clinic...
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02/04/2022
Heed the Noise in Performance Evaluations in Neural Architecture Search
Neural Architecture Search (NAS) has recently become a topic of great in...
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09/11/2021
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms
When it comes to solving optimization problems with evolutionary algorit...
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04/16/2021
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning
We propose a novel surrogate-assisted Evolutionary Algorithm for solving...
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01/23/2020