label noise

Decontamination of Mutually Contaminated Models AISTATS 2014 Learning and Evaluation in Presence of Non-i.i.d. Label Noise AISTATS 2014 Stochastic Neighbor Compression ICML 2014 Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013 Collaborative Active Learning of a Kernel Machine Ensemble for Recognition ICCV 2013 Discriminative Segment Annotation in Weakly Labeled Video CVPR 2013 Handling Uncertain Tags in Visual Recognition ICCV 2013 Learning with Noisy Labels NeurIPS 2013 A Conditional Multinomial Mixture Model for Superset Label Learning NeurIPS 2012 Learning as MAP Inference in Discrete Graphical Models NeurIPS 2012 Learning from the Wisdom of Crowds by Minimax Entropy NeurIPS 2012 Learning from Weak Teachers AISTATS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Support Vector Machines Under Adversarial Label Noise ACML 2011 Learning via Gaussian Herding NeurIPS 2010 t-logistic regression NeurIPS 2010 Prediction on a Graph with a Perceptron NeurIPS 2006 Training Conditional Random Fields for Maximum Labelwise Accuracy NeurIPS 2006