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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 26–50 of 100 papers

TitleStatusHype
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature SimilarityCode0
Benchmark for Uncertainty & Robustness in Self-Supervised LearningCode0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Improving CTC-based speech recognition via knowledge transferring from pre-trained language modelsCode0
Enhancing Deep Knowledge Tracing with Auxiliary TasksCode0
Large Language Models for Compiler Optimization—0
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting—0
Learning Representation for Multitask learning through Self Supervised Auxiliary learning—0
Learning to Generalize One Sample at a Time with Self-Supervision—0
Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition—0
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis—0
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions—0
LitCall: Learning Implicit Topology for CNN-based Aortic Landmark Localization—0
Meta Auxiliary Labels with Constituent-based Transformer for Aspect-based Sentiment Analysis—0
Hierarchical Auxiliary Learning—0
Meta Auxiliary Learning for Facial Action Unit Detection—0
Meta Auxiliary Learning for Low-resource Spoken Language Understanding—0
Meta-Auxiliary Learning for Micro-Expression Recognition—0
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID—0
Multimodal Classification for Analysing Social Media—0
HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression—0
Multimodal Topic-Enriched Auxiliary Learning for Depression Detection—0
Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning—0
NeurAll: Towards a Unified Visual Perception Model for Automated Driving—0
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations—0
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