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Auxiliary Learning

Auxiliary learning aims to find or design auxiliary tasks which can improve the performance on one or some primary tasks.

( Image credit: Self-Supervised Generalisation with Meta Auxiliary Learning )

Papers

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Showing 11–20 of 100 papers

TitleStatusHype
A Survey on Cross-Domain Sequential RecommendationCode1
Cross-Modal Image Fusion Theory Guided by Subjective Visual Attention—0
Auxiliary learning induced graph convolutional networks—0
Auxiliary Tasks and Exploration Enable ObjectGoal Navigation—0
A Cross-Modal Image Fusion Method Guided by Human Visual Characteristics—0
Introducing Depth into Transformer-based 3D Object Detection—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Auxiliary Learning by Implicit Differentiation—0
Asset Bundling for Wind Power Forecasting—0
Bootstrapped Representations in Reinforcement Learning—0
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