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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 125 of 100 papers

TitleStatusHype
RL-I2IT: Image-to-Image Translation with Deep Reinforcement LearningCode1
Auxiliary Learning as an Asymmetric Bargaining GameCode1
Counting with Adaptive Auxiliary LearningCode1
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous GraphsCode1
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation ModelsCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-LearningCode1
A Survey on Cross-Domain Sequential RecommendationCode1
GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point CloudsCode1
Learning to Recover Spectral Reflectance from RGB ImagesCode1
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic SegmentationCode1
Auxiliary Tasks and Exploration Enable ObjectNavCode0
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge DistillationCode0
Learning Object Placements For Relational Instructions by Hallucinating Scene RepresentationsCode0
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identificationCode0
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific AdaptationCode0
Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction PredictionCode0
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
Benchmark for Uncertainty & Robustness in Self-Supervised LearningCode0
Auxiliary Learning by Implicit DifferentiationCode0
Enhancing Deep Knowledge Tracing with Auxiliary TasksCode0
AANG: Automating Auxiliary LearningCode0
Deep Auxiliary Learning for Visual Localization and OdometryCode0
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference CostCode0
Dataset2Vec: Learning Dataset Meta-FeaturesCode0
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