noisy label

Improving generalization by controlling label-noise information in neural network weights ICML 2020 Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model AAAI 2020 Label Distribution for Learning with Noisy Labels IJCAI 2020 Label-Noise Robust Domain Adaptation ICML 2020 Learning From Noisy Anchors for One-Stage Object Detection CVPR 2020 Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020 Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension COLING 2020 Model-agnostic Methods for Text Classification with Inherent Noise COLING 2020 Normalized Loss Functions for Deep Learning with Noisy Labels ICML 2020 Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates ICML 2020 Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents ACL 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 Robust Optimization for Fairness with Noisy Protected Groups NeurIPS 2020 Robust training with ensemble consensus ICLR 2020 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020 Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks CVPR 2020 Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020 Walking on Two Legs: Learning Image Segmentation with Noisy Labels UAI 2020 Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification AAAI 2020 An Effective Label Noise Model for DNN Text Classification NAACL 2019 Are Anchor Points Really Indispensable in Label-Noise Learning? NeurIPS 2019 A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection AAAI 2019 A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels AAAI 2019 Combating Label Noise in Deep Learning using Abstention ICML 2019 Co-Mining: Deep Face Recognition With Noisy Labels ICCV 2019