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