Multi-Source Learning

Collaborative Prediction: To Join or To Disjoin Datasets UAI 2025 DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning AAAI 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis CVPR 2024 Feature Distribution Matching for Federated Domain Generalization ACML 2022 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 NeurIPS 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 Domain Adaptation with Multiple Sources NeurIPS 2008 Learning from Multiple Sources NeurIPS 2006