lnl_sr
by hitcszx
Learning with Noisy Labels via Sparse Regularization, ICCV2021
AI summary
Label regularization
An implementation of a regularization technique to improve the accuracy of deep learning models trained with noisy labels.
- stars
- 46
- forks
- 4
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Label noise correction algorithm
An implementation of an unsupervised label noise modeling and loss correction approach for deep learning.
Label smoothing algorithm
An implementation of a method to learn from noisy labels in machine learning models with instance-dependent noise
Noisy label solver
Develops a robust learning framework to handle noisy labels in multimodal data and improve cross-modal retrieval.
Noisy label solver
A PyTorch implementation of a method for learning with noisy labels in deep neural networks
Deep learning on noisy data
An implementation of training deep neural networks on noisy labels with bootstrapping using Keras
Label noise toolset
Provides tools and data for studying instance-dependent label noise in deep neural networks, with a focus on combating noisy labels
Label correction algorithm
An algorithm designed to robustly correct noisy labels in training data by iteratively refining the network's confidence and updating the loss function.
Noisy Dropout Regularization
This project explores training deep neural networks using noisy labels with dropout regularization to improve robustness.
Noisy label handling tool
An open source software project that extends an existing algorithm to handle noisy labels in machine learning for low-resource data generation.
Noisy label solver
An implementation of a contrastive learning approach to address noisy labels in machine learning models
Label noise mitigation method
An implementation of a PyTorch-based deep learning method to improve robustness against noisy labels in image classification tasks
Label noise correction
A method to train deep learning classifiers on noisy labels using a small set of trusted data
Label noise study
An investigation into deep learning models trained with noisy labels and methods to improve their accuracy.
Label noise mitigator
An implementation of a method to improve model robustness against inherent label noise in machine learning models
Label correction library
Provides PyTorch implementation of a method to address noisy labels in medical image segmentation.