Progressive Self-supervised Multi-objective NAS for Image Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Garcia-Garcia:2024:evoapplications,
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author = "Cosijopii Garcia-Garcia and Alicia Morales-Reyes and
Hugo Jair Escalante",
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title = "Progressive Self-supervised Multi-objective NAS for
Image Classification",
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booktitle = "27th International Conference, EvoApplications 2024",
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year = "2024",
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editor = "Stephen Smith and Joao Correia and
Christian Cintrano",
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series = "LNCS",
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volume = "14635",
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publisher = "Springer",
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address = "Aberystwyth",
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month = "3-5 " # apr,
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pages = "180--195",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming, ANN, MOGA, NSGA II, Evolutionary
neural architecture search, AutoML, Evolutionary
self-supervised learning",
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isbn13 = "978-3-031-56854-1",
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URL = "https://rdcu.be/dD0hO",
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DOI = "doi:10.1007/978-3-031-56855-8_11",
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abstract = "We introduce a novel progressive self-supervised
framework for neural architecture search. Our aim is to
search for competitive, yet significantly less complex,
generic CNN architectures that can be used for multiple
tasks (i.e., as a pretrained model). This is achieved
through cartesian genetic programming (CGP) for neural
architecture search (NAS). Our approach integrates
self-supervised learning with a progressive
architecture search process. This synergy unfolds
within the continuous domain which is tackled via
multi-objective evolutionary algorithms (MOEAs). To
empirically validate our proposal, we adopted a
rigorous evaluation using the non-dominated sorting
genetic algorithm II (NSGA-II) for the CIFAR-100,
CIFAR-10, SVHN and CINIC-10 datasets. The experimental
results showcase the competitiveness of our approach in
relation to state-of-the-art proposals concerning both
classification performance and model complexity.
Additionally, the effectiveness of this method in
achieving strong generalization can be inferred.",
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notes = "http://www.evostar.org/2024/ EvoApplications2024 held
in conjunction with EuroGP'2024, EvoCOP2024 and
EvoMusArt2024",
- }
Genetic Programming entries for
Cosijopii Garcia-Garcia
Alicia Morales-Reyes
Hugo Jair Escalante
Citations