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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 71–80 of 100 papers

TitleStatusHype
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods—0
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration—0
Meta-Auxiliary Learning for Adaptive Human Pose Prediction—0
A Cross-Modal Image Fusion Method Guided by Human Visual Characteristics—0
A Refined End-to-End Discourse Parser—0
Asset Bundling for Wind Power Forecasting—0
Auxiliary Learning as a step towards Artificial General Intelligence—0
Auxiliary Learning by Implicit Differentiation—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Auxiliary learning induced graph convolutional networks—0
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