Article

Shared architecture, competing objectives: experimental evolution in Drosophila instantiates negative transfer in multi-task learning

2026-06-22

Abstract excerpt

<title>Abstract</title> <p> When competing objectives are optimized through shared components, gains on one can degrade performance on another. Evolutionary biologists call this a fitness trade-off; machine learning researchers call it negative transfer. The structural parallel is rarely made explicit, and the two literatures have developed independently despite describing the same underlying constraint. Here I...

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Literature Corpus work: f6157599-c238-580c-ae00-ef4c5a91ce28
DOI: 10.21203/rs.3.rs-10084767/v1

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Shared architecture, competing objectives: experimental evolution in Drosophila instantiates negative transfer in multi-task learningDOI 10.21203/rs.3.rs-10084767/v1Read

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