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Auxiliary Learning

1 papers with code · Methodology
Subtask of Transfer Learning

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

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Greatest papers with code

Self-Supervised Generalisation with Meta Auxiliary Learning

25 Jan 2019lorenmt/maxl

The loss for the label-generation network incorporates the loss of the multi-task network, and so this interaction between the two networks can be seen as a form of meta learning with a double gradient.

AUXILIARY LEARNING META-LEARNING MULTI-TASK LEARNING