Label Noise

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021 Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels ICML 2020 Can gradient clipping mitigate label noise? ICLR 2020 Cost-Accuracy Aware Adaptive Labeling for Active Learning AAAI 2020 Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020 Label Noise in Context ACL 2020 Learning from Rules Generalizing Labeled Exemplars ICLR 2020 Classification with unknown class-conditional label noise on non-compact feature spaces COLT 2019 Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019 More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning NeurIPS 2016 Learning from the Wisdom of Crowds by Minimax Entropy NeurIPS 2012 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 t-logistic regression NeurIPS 2010