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Multi-Source Learning

10 directly classified papers

Papers per year

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