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Accelerating neural architecture exploration across modalities using genetic algorithms

https://doi.org/10.1145/3520304.3528786

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/4235.797969openalex-snapshot

Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach

inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot

A fast and elitist multiobjective genetic algorithm: NSGA-II

inferredcites →https://doi.org/10.1109/access.2020.2990567openalex-snapshot

Pymoo: Multi-Objective Optimization in Python

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1145/3321707.3321839openalex-snapshot

An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization

inferredcites →https://doi.org/10.1145/3449726.3459441openalex-snapshot

Evolving transformer architecture for neural machine translation

inferredcites →https://doi.org/10.3115/1073083.1073135openalex-snapshot

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5115996openalex-extracted

Evolving Neural Architectures: A Genetic Algorithm Approach to Deep Learning Optimization

inferred← citeshttps://doi.org/10.1007/978-3-032-36223-0_5openalex-snapshot

An Empirical Study on the Realism Gap of Benchmarks for Multi-Objective Neural Architecture Search

inferred← citeshttps://doi.org/10.1007/s10462-026-11550-5openalex-snapshot

Neural architecture search from a natural language processing perspective: a survey

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