2021-CVPR-MRL

Similar projects

Found by comparing what the projects do, not just their names.

• nust-machine-intelligence-laboratory/jo-src5

  Noisy label solver

  An implementation of a contrastive learning approach to address noisy labels in machine learning models

• ucsc-real/cal47

  Label noise trainer

  An implementation of a method to learn with instance-dependent label noise in deep learning models using PyTorch

• xiaoboxia/t-revision97

  Noisy label solver

  A PyTorch implementation of a method for learning with noisy labels in deep neural networks

• moucheng2017/med-noisy-labels71

  Label correction library

  Provides PyTorch implementation of a method to address noisy labels in medical image segmentation.

• hitcszx/lnl_sr46

  Label regularization

  An implementation of a regularization technique to improve the accuracy of deep learning models trained with noisy labels.

• xiaoboxia/cdr75

  Label noise mitigation method

  An implementation of a PyTorch-based deep learning method to improve robustness against noisy labels in image classification tasks

• uds-lsv/multi-tasking_learning_with_unreliable_labels8

  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.

• dr-darryl-wright/noisy-labels-with-bootstrapping22

  Deep learning on noisy data

  An implementation of training deep neural networks on noisy labels with bootstrapping using Keras

• ucsc-real/cores36

  Label smoothing algorithm

  An implementation of a method to learn from noisy labels in machine learning models with instance-dependent noise

• pxiangwu/topofilter30

  Label noise mitigation

  Develops and evaluates machine learning algorithms to mitigate the effects of noisy labels in supervised learning.

• udibr/noisy_labels118

  Label correction mechanism

  This project explores how to adapt neural networks to noisy labels by introducing a mechanism that can learn to correct the errors.

• pokaxpoka/rognoisylabel33

  Noisy label toolkit

  A Python package for robust inference via generative classifiers for handling noisy labels in machine learning.

• weijiaheng/advances-in-label-noise-learning696

  Noisy label learning

  A curated collection of papers and resources on learning with noisy labels in machine learning

• chenpf1025/noisy_label_understanding_utilizing90

  Label noise study

  An investigation into deep learning models trained with noisy labels and methods to improve their accuracy.

• kthyeon/fine_official39

  Sample selection

  Implementation of a method to improve machine learning models trained with noisy labels by selecting and collaborating with high-quality samples