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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
Pareto Self-Supervised Training for Few-Shot Learning—0
Auxiliary Tasks and Exploration Enable ObjectNavCode0
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation—0
Siamese Labels Auxiliary Learning—0
JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks—0
Auxiliary Tasks and Exploration Enable ObjectGoal Navigation—0
Meta Auxiliary Labels with Constituent-based Transformer for Aspect-based Sentiment Analysis—0
Multimodal Topic-Enriched Auxiliary Learning for Depression Detection—0
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks—0
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis—0
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