label noise

Combinatorial Inference against Label Noise NeurIPS 2019 Co-Mining: Deep Face Recognition With Noisy Labels ICCV 2019 Cost-sensitive Regularization for Label Confusion-aware Event Detection ACL 2019 CrossWeigh: Training Named Entity Tagger from Imperfect Annotations EMNLP 2019 Decontamination of Mutual Contamination Models JMLR 2019 Deep Self-Learning From Noisy Labels ICCV 2019 Discriminative and Correlative Partial Multi-Label Learning IJCAI 2019 Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations AAAI 2019 Exploiting Class Learnability in Noisy Data AAAI 2019 Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators ALT 2019 Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise ICML 2019 Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection CVPR 2019 Input Similarity from the Neural Network Perspective NeurIPS 2019 Label-Noise Robust Generative Adversarial Networks CVPR 2019 L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise NeurIPS 2019 Learning to Learn From Noisy Labeled Data CVPR 2019 Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019 Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions AAAI 2019 Noise-tolerant fair classification NeurIPS 2019 Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019 O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks ICCV 2019 Positive and Unlabeled Learning with Label Disambiguation IJCAI 2019 Probabilistic End-To-End Noise Correction for Learning With Noisy Labels CVPR 2019 Robust Person Re-Identification by Modelling Feature Uncertainty ICCV 2019 SELFIE: Refurbishing Unclean Samples for Robust Deep Learning ICML 2019