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Data · dataset · 2026

Dataset collection for auxiliary task learning experiments

Listed in REDU - Unicamp Institutional Research Data Repository

This dataset collection comprises synthetic datasets designed to evaluate methods for Auxiliary Task Learning (ATL), particularly algorithms focused on automatic task selection and negative-transfer mitigation.

Description

It includes six controlled synthetic scenarios with predefined inter-task correlation structures.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 69%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
REDU - Unicamp Institutional Research Data Repositorydoi:10.25824/redu/ETOIDS10 d agoJSON v1
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