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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 91100 of 100 papers

TitleStatusHype
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identificationCode0
AANG: Automating Auxiliary LearningCode0
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific AdaptationCode0
Auxiliary Tasks and Exploration Enable ObjectNavCode0
Self-Supervised Generalisation with Meta Auxiliary LearningCode0
Learning Object Placements For Relational Instructions by Hallucinating Scene RepresentationsCode0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction PredictionCode0
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-TuningCode0
Benchmark for Uncertainty & Robustness in Self-Supervised LearningCode0
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