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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

Showing 2130 of 100 papers

TitleStatusHype
Benchmark for Uncertainty & Robustness in Self-Supervised LearningCode0
AANG: Automating Auxiliary LearningCode0
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific AdaptationCode0
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference CostCode0
Dataset2Vec: Learning Dataset Meta-FeaturesCode0
Deep Auxiliary Learning for Visual Localization and OdometryCode0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identificationCode0
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning0
Deep auxiliary learning for visual localization using colorization task0
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