GitHub topics: label-noise-robustness
KentoNishi/Augmentation-for-LNL
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
Language: Python - Size: 50.1 MB - Last synced at: 10 days ago - Pushed at: over 3 years ago - Stars: 113 - Forks: 12

nazmul-karim170/UNICON
[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
Language: Python - Size: 886 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 61 - Forks: 15

KentoNishi/Aug-for-LNL-Extras
Extra bits of unsanitized code for plotting, training, etc. related to our CVPR 2021 paper "Augmentation Strategies for Learning with Noisy Labels".
Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 0

rharish101/label-noise-and-generalization 📦
Semester project on the impact of label noise on deep learning optimization
Language: Python - Size: 2.31 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

litian96/TERM
Tilted Empirical Risk Minimization (ICLR '21)
Language: Python - Size: 5.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 51 - Forks: 10

Wakings/TABASCO
Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)
Language: Python - Size: 40 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

carlomarxdk/RobustCrossEntropyLoss
PyTorch Implementation of Robust Cross Entropy Loss (Loss Correction for Label Noise)
Language: Python - Size: 7.81 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

EnyanDai/NRGNN
Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).
Language: Python - Size: 5.01 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 26 - Forks: 10

alexmirrington/class-conditional-label-noise
Implementations of different loss-correction techniques to help deep models learn under class-conditional label noise.
Language: Python - Size: 7.06 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
