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 81–90 of 100 papers

TitleStatusHype
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA—0
Auxiliary Learning by Implicit Differentiation—0
Joint learning of interpretation and distillation—0
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration—0
Learning Object Placements For Relational Instructions by Hallucinating Scene RepresentationsCode0
Cross-Modal Image Fusion Theory Guided by Subjective Visual Attention—0
A Cross-Modal Image Fusion Method Guided by Human Visual Characteristics—0
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions—0
Learning to Generalize One Sample at a Time with Self-Supervision—0
Auxiliary Learning for Deep Multi-task Learning—0
Show:102550
← PrevPage 9 of 10Next →

No leaderboard results yet.