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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 1120 of 100 papers

TitleStatusHype
A Survey on Cross-Domain Sequential RecommendationCode1
Auxiliary Tasks and Exploration Enable ObjectNavCode0
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge DistillationCode0
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific AdaptationCode0
Improving CTC-based speech recognition via knowledge transferring from pre-trained language modelsCode0
Auxiliary Learning by Implicit DifferentiationCode0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
Benchmark for Uncertainty & Robustness in Self-Supervised LearningCode0
Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction PredictionCode0
AANG: Automating Auxiliary LearningCode0
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