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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 1–50 of 100 papers

TitleStatusHype
GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point CloudsCode1
A Survey on Cross-Domain Sequential RecommendationCode1
RL-I2IT: Image-to-Image Translation with Deep Reinforcement LearningCode1
Learning to Recover Spectral Reflectance from RGB ImagesCode1
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation ModelsCode1
Auxiliary Learning as an Asymmetric Bargaining GameCode1
Counting with Adaptive Auxiliary LearningCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic SegmentationCode1
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-LearningCode1
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous GraphsCode1
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-TuningCode0
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation—0
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning—0
LAL: Enhancing 3D Human Motion Prediction with Latency-aware Auxiliary Learning—0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions—0
Self-supervised Auxiliary Learning for Texture and Model-based Hybrid Robust and Fair Featuring in Face Analysis—0
Learning Representation for Multitask learning through Self Supervised Auxiliary learning—0
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement LearningCode0
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning—0
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference CostCode0
Meta-Auxiliary Learning for Micro-Expression Recognition—0
HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression—0
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting—0
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation—0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific AdaptationCode0
Fast Adaptation for Human Pose Estimation via Meta-Optimization—0
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID—0
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection—0
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning—0
Predictive auxiliary objectives in deep RL mimic learning in the brain—0
Semantic-aware Temporal Channel-wise Attention for Cardiac Function Assessment—0
Asset Bundling for Wind Power Forecasting—0
Large Language Models for Compiler Optimization—0
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning—0
Rethinking Transfer and Auxiliary Learning for Improving Audio Captioning Transformer—0
Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning—0
Bootstrapped Representations in Reinforcement Learning—0
LitCall: Learning Implicit Topology for CNN-based Aortic Landmark Localization—0
Meta-Auxiliary Learning for Adaptive Human Pose Prediction—0
Introducing Depth into Transformer-based 3D Object Detection—0
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods—0
Enhancing Deep Knowledge Tracing with Auxiliary TasksCode0
Benchmark for Uncertainty & Robustness in Self-Supervised LearningCode0
IDMS: Instance Depth for Multi-scale Monocular 3D Object Detection—0
Auxiliary Learning as a step towards Artificial General Intelligence—0
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications—0
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data—0
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