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

Probabilistic End-To-End Noise Correction for Learning With Noisy Labels CVPR 2019
Robust Person Re-Identification by Modelling Feature Uncertainty ICCV 2019
Label-Noise Robust Generative Adversarial Networks CVPR 2019
Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019
Learning to Learn From Noisy Labeled Data CVPR 2019
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning ICML 2019
Combating Label Noise in Deep Learning using Abstention ICML 2019
Combinatorial Inference against Label Noise NIPS 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection CVPR 2019
Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise ICML 2019
Adversarial Label Learning AAAI 2019
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise NIPS 2019
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations EMNLP 2019
Weakly Supervised Image Classification Through Noise Regularization CVPR 2019
Input Similarity from the Neural Network Perspective NIPS 2019
An Effective Label Noise Model for DNN Text Classification NAACL 2019
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation ALT 2019
Deep Self-Learning From Noisy Labels ICCV 2019
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks ICCV 2019
Exploiting Class Learnability in Noisy Data AAAI 2019
Decontamination of Mutual Contamination Models JMLR 2019
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations IJCNLP 2019
Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators ALT 2019
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels UAI 2019