unlabeled data

Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021 VirFace: Enhancing Face Recognition via Unlabeled Shallow Data CVPR 2021 Adversarial Self-Supervised Contrastive Learning NeurIPS 2020 An Unbiased Risk Estimator for Learning with Augmented Classes NeurIPS 2020 Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context ACL 2020 DIVA: Domain Invariant Variational Autoencoders MIDL 2020 DivideMix: Learning with Noisy Labels as Semi-supervised Learning ICLR 2020 Exploring Unlabeled Faces for Novel Attribute Discovery CVPR 2020 Instance Credibility Inference for Few-Shot Learning CVPR 2020 Learning from Positive and Unlabeled Data with Arbitrary Positive Shift NeurIPS 2020 Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning NeurIPS 2020 Research Replication Prediction Using Weakly Supervised Learning EMNLP 2020 Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding COLING 2020 Semi-Supervised Learning for Character Expression of Spoken Dialogue Systems Interspeech 2020 Semi-Supervised Learning for Maximizing the Partial AUC AAAI 2020 Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful UAI 2020 Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language ACL 2020 Text Classification Using Label Names Only: A Language Model Self-Training Approach EMNLP 2020 Zero-shot Text Classification via Reinforced Self-training ACL 2020 Are Labels Required for Improving Adversarial Robustness? NeurIPS 2019 Consistency-based Semi-supervised Learning for Object detection NeurIPS 2019 Investigating the effect of novel classes in semi-supervised learning ACML 2019 MixMatch: A Holistic Approach to Semi-Supervised Learning NeurIPS 2019 Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework AAAI 2019 On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data ICLR 2019