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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 91–100 of 100 papers

TitleStatusHype
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation—0
Hierarchical Auxiliary Learning—0
Dataset2Vec: Learning Dataset Meta-FeaturesCode0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
NeurAll: Towards a Unified Visual Perception Model for Automated Driving—0
Self-Supervised Generalisation with Meta Auxiliary LearningCode0
Deep Auxiliary Learning for Visual Localization and OdometryCode0
Multimodal Classification for Analysing Social Media—0
A Refined End-to-End Discourse Parser—0
Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition—0
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