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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 41–50 of 100 papers

TitleStatusHype
Meta Auxiliary Learning for Facial Action Unit Detection—0
Meta Auxiliary Learning for Low-resource Spoken Language Understanding—0
Meta-Auxiliary Learning for Micro-Expression Recognition—0
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID—0
Multimodal Classification for Analysing Social Media—0
HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression—0
Multimodal Topic-Enriched Auxiliary Learning for Depression Detection—0
Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning—0
NeurAll: Towards a Unified Visual Perception Model for Automated Driving—0
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations—0
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