label noise

Structured Minimally Supervised Learning for Neural Relation Extraction NAACL 2019 Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019 Training Complex Models with Multi-Task Weak Supervision AAAI 2019 Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels ICML 2019 Unsupervised Label Noise Modeling and Loss Correction ICML 2019 Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NeurIPS 2019 Weakly Supervised Image Classification Through Noise Regularization CVPR 2019 A Data Prism: Semi-verified learning in the small-alpha regime COLT 2018 An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption CVPR 2018 A Theory of Learning with Corrupted Labels JMLR 2018 CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise CVPR 2018 Collaborative Learning for Deep Neural Networks NeurIPS 2018 Cost-Sensitive Learning with Noisy Labels JMLR 2018 Co-teaching: Robust training of deep neural networks with extremely noisy labels NeurIPS 2018 Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels NeurIPS 2018 Improving DNNs Trained with Non-Native Transcriptions Using Knowledge Distillation and Target Interpolation Interspeech 2018 Lean Multiclass Crowdsourcing CVPR 2018 Learning From Noisy Web Data With Category-Level Supervision CVPR 2018 Learning to Reweight Examples for Robust Deep Learning ICML 2018 Masking: A New Perspective of Noisy Supervision NeurIPS 2018 MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels ICML 2018 Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NeurIPS 2018 Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation IJCAI 2018 Robust Active Label Correction AISTATS 2018 Robustness of conditional GANs to noisy labels NeurIPS 2018