noisy label

Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017 Noise-Tolerant Interactive Learning Using Pairwise Comparisons NeurIPS 2017 To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories Interspeech 2017 Weakly-Supervised Phrase Assignment from Text in a Speech-Synthesis System Using Noisy Labels Interspeech 2017 Clinical Tagging with Joint Probabilistic Models MLHC 2016 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing JMLR 2016 Noisy Label Recovery for Shadow Detection in Unfamiliar Domains CVPR 2016 No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing ICML 2016 On the capacity of information processing systems COLT 2016 Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016 Learning From Massive Noisy Labeled Data for Image Classification CVPR 2015 Reputation-based Worker Filtering in Crowdsourcing NeurIPS 2014 Robust Online Gesture Recognition with Crowdsourced Annotations JMLR 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 Handling Uncertain Tags in Visual Recognition ICCV 2013 Learning with Noisy Labels NeurIPS 2013 Learning from the Wisdom of Crowds by Minimax Entropy NeurIPS 2012 Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010 Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NeurIPS 2009