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Noisy-Labels-Problem-Collection

This is a collection of Papers and Codes for Noisy Labels Problem.

Papers

• 2013-Learning with Multiple Labels
• 2013-NIPS-Learning with Noisy Labels
• 2014-A Comprehensive Introduction to Label NoiseIntroduction
• 2014-IEEE-Classification in the Presence of Label Noise: a SurveySurvey
• 2015-CVPR-Learning from Massive Noisy Labeled Data for Image Classification
• 2015-CVPR-Training Deep Neural Networks on Noisy Labels with Bootstrapping
• 2015-ICLR-TRAINING CONVOLUTIONAL NETWORKS WITH NOISY LABELS
• 2017-ICLR-Training deep neural-networks based on unreliable labels-V1
• 2017-ICLR-Training deep neural-networks based on unreliable labels-V1-Poster
• 2017-ICLR-Training deep neural-networks using a noise adaptation layer-V2
• 2017-CVPR-A Light CNN for Deep Face Representation with Noisy Labels
• 2017-Learning From Noisy Labels With Distillation
• 2017-AAAI-Robust Loss Functions under Label Noise for Deep Neural Networks

Github

• Search 'Noisy Label' Results
• Noisy Labels with Jupyter Notebook
• Noisy Label Neural Network1-Tensorflow
• Noisy Label Neural Network2-Chainer
• Multi-tasking Learning With Unreliable Labels
• Keras-noisy-lables-finetune
• Light CNN for Deep Face Recognition, in Tensorflow
• Rankpruning

Others

• Deep Learning Package-Chainer Tutorial
• Paper-Semi-Supervised Learning Literature Survey
• Cross Validated-Classification with Noisy Labels