domain adaptation

Learning From Synthetic Animals CVPR 2020 Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning WACV 2020 Learning from Unlabelled Data for Clinical Semantic Textual Similarity EMNLP 2020 Learning Invariant Representation for Unsupervised Image Restoration CVPR 2020 Learning Meta Face Recognition in Unseen Domains CVPR 2020 Learning Overlapping Representations for the Estimation of Individualized Treatment Effects AISTATS 2020 Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation CVPR 2020 Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition CVPR 2020 Learning to Adapt to Evolving Domains NeurIPS 2020 Learning to Generate 3D Training Data Through Hybrid Gradient CVPR 2020 Learning to Transfer: Unsupervised Domain Translation via Meta-Learning AAAI 2020 Learning with Feature and Distribution Evolvable Streams ICML 2020 LEGAL-BERT: The Muppets straight out of Law School EMNLP 2020 Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation CVPR 2020 LIMSI @ WMT 2020 EMNLP 2020 Listening to Sounds of Silence for Speech Denoising NeurIPS 2020 Lite Training Strategies for Portuguese-English and English-Portuguese Translation EMNLP 2020 Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation EMNLP 2020 Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment NeurIPS 2020 Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing EMNLP 2020 Low Resource Sequence Tagging with Weak Labels AAAI 2020 LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020 Margin-aware Adversarial Domain Adaptation with Optimal Transport ICML 2020 Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling EMNLP 2020 Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation ICML 2020