conftrace_

label noise

498 papers

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Co-occurring keywords

noisy label (321) noisy label learning (163) deep neural network (1803) semi-supervised learning (2341) weakly supervised learning (1328) text classification (6793) image classification (1944) data augmentation (3052) representation learning (6206) active learning (1301)

Papers

Unsupervised Label Noise Modeling and Loss Correction ICML 2019
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions AAAI 2019
Classification with unknown class-conditional label noise on non-compact feature spaces COLT 2019
Training Complex Models with Multi-Task Weak Supervision AAAI 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels ICML 2019
Discriminative and Correlative Partial Multi-Label Learning IJCAI 2019
Structured Minimally Supervised Learning for Neural Relation Extraction NAACL 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework IJCNLP 2019
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations AAAI 2019
Co-Mining: Deep Face Recognition With Noisy Labels ICCV 2019
Bidirectional Active Learning with Gold-Instance-Based Human Training IJCAI 2019
Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019
Cost-sensitive Regularization for Label Confusion-aware Event Detection ACL 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NIPS 2019
Spotting Spurious Data with Neural Networks NAACL 2018
Robust Active Label Correction AISTATS 2018
A Data Prism: Semi-verified learning in the small-alpha regime COLT 2018
Lean Multiclass Crowdsourcing CVPR 2018
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption CVPR 2018
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NIPS 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise NIPS 2018
Visual Supervision in Bootstrapped Information Extraction EMNLP 2018
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining ACL 2018
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise CVPR 2018
Learning From Noisy Web Data With Category-Level Supervision CVPR 2018