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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

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Showing 76–100 of 100 papers

TitleStatusHype
Meta Auxiliary Labels with Constituent-based Transformer for Aspect-based Sentiment Analysis—0
Multimodal Topic-Enriched Auxiliary Learning for Depression Detection—0
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks—0
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis—0
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA—0
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous GraphsCode1
Auxiliary Learning by Implicit DifferentiationCode0
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
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation—0
Hierarchical Auxiliary Learning—0
Dataset2Vec: Learning Dataset Meta-FeaturesCode0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
NeurAll: Towards a Unified Visual Perception Model for Automated Driving—0
Self-Supervised Generalisation with Meta Auxiliary LearningCode0
Deep Auxiliary Learning for Visual Localization and OdometryCode0
Multimodal Classification for Analysing Social Media—0
A Refined End-to-End Discourse Parser—0
Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition—0
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