multi-source learning

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification CVPR 2021 Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 2021 Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation CVPR 2021 Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection ICCV 2021 Unsupervised Multi-Source Domain Adaptation for Person Re-Identification CVPR 2021 Wasserstein Barycenter for Multi-Source Domain Adaptation CVPR 2021 Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020 Domain Aggregation Networks for Multi-Source Domain Adaptation ICML 2020 Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020 Multi-Source Distilling Domain Adaptation AAAI 2020 Noising Scheme for Data Augmentation in Automatic Post-Editing EMNLP 2020 On the Sample Complexity of Adversarial Multi-Source PAC Learning ICML 2020 Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language ACL 2020 Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019 Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models EMNLP 2019 Multi-Source Neural Variational Inference AAAI 2019 Multi-Source Weak Supervision for Saliency Detection CVPR 2019 On Single Source Robustness in Deep Fusion Models NeurIPS 2019 Attention Strategies for Multi-Source Sequence-to-Sequence Learning ACL 2017 Learning Attributes Equals Multi-Source Domain Generalization CVPR 2016 Multi-source Deep Learning for Human Pose Estimation CVPR 2014 Complex Event Detection via Multi-source Video Attributes CVPR 2013 Generalization Bounds for Domain Adaptation NeurIPS 2012 Metric Learning with Multiple Kernels NeurIPS 2011 Domain Adaptation with Multiple Sources NeurIPS 2008