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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
Improving CTC-based speech recognition via knowledge transferring from pre-trained language modelsCode0
Benchmark for Uncertainty & Robustness in Self-Supervised LearningCode0
AANG: Automating Auxiliary LearningCode0
Enhancing Deep Knowledge Tracing with Auxiliary TasksCode0
Dataset2Vec: Learning Dataset Meta-FeaturesCode0
Deep Auxiliary Learning for Visual Localization and OdometryCode0
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference CostCode0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific AdaptationCode0
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement LearningCode0
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