SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 100 papers

TitleStatusHype
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning—0
Meta Auxiliary Learning for Low-resource Spoken Language Understanding—0
Enhancing Sequential Recommendation with Graph Contrastive Learning—0
AANG: Automating Auxiliary LearningCode0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
Boost Test-Time Performance with Closed-Loop Inference—0
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation—0
Improving CTC-based speech recognition via knowledge transferring from pre-trained language modelsCode0
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identificationCode0
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge DistillationCode0
Show:102550
← PrevPage 6 of 10Next →

No leaderboard results yet.