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Multi-Source Learning
10 directly classified papers
Papers per year
2006: 1
2018: 1
2020: 2
2021: 1
2022: 2
2024: 3
Papers
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning
AAAI 2024
Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis
CVPR 2024
Linear Regression using Heterogeneous Data Batches
NIPS 2024
Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation
WACV 2022
PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence
ACL 2022
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
NIPS 2021
Multi-Source Distilling Domain Adaptation
AAAI 2020
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
ACL 2020
Do Outliers Ruin Collaboration?
ICML 2018
Learning from Multiple Sources
NIPS 2006
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