Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Iterative Cross Learning on Noisy Labels
Learning with noisy labels
Boosting in the presence of label noise
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Learning programs from noisy data
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Learning with Annotation Noise
Learning from massive noisy labeled data for image classification
Iteratively Learning from the Best
Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels
Learning Deep Networks from Noisy Labels with Dropout Regularization
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Adversarial Labeling for Learning without Labels.
Learning from Partial Labels
Classification in the Presence of Label Noise: A Survey
Deep Learning is Robust to Massive Label Noise
Towards instance-dependent label noise-tolerant classification: a probabilistic approach
Efficient Training for Positive Unlabeled Learning
Classifier Learning from Noisy Data as Probabilistic Evidence Combination
New Transfer Learning Techniques for Disparate Label Sets
On the Resistance of Neural Nets to Label Noise
Purification and properties of African swine fever virus.
Cognitive, language, social and behavioural outcomes in adults with autism spectrum disorders: a systematic review of longitudinal follow-up studies in adulthood.
Improving neural networks by preventing co-adaptation of feature detectors
A novel microstrip triplexer based on meandered loop resonators
Disease and the brain's dark energy