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noisy-labels

Here are 91 public repositories matching this topic...

A curated list of resources for Learning with Noisy Labels

  • UpdatedMay 3, 2024
awesome-open-data-centric-ai

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

  • UpdatedApr 9, 2025
  • Python

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

  • UpdatedMay 22, 2023
  • Python

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

  • UpdatedDec 14, 2021
  • Python

Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"

  • UpdatedJun 16, 2021
  • Python

Noise-Tolerant Paradigm for Training Face Recognition CNNs [Official, CVPR 2019]

  • UpdatedMar 27, 2019
  • Python

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

  • UpdatedJul 5, 2024
  • Python

The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.

  • UpdatedMay 17, 2022
  • Python

NLNL: Negative Learning for Noisy Labels

  • UpdatedNov 14, 2019
  • Python

[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"

  • UpdatedSep 12, 2022
  • Python

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

  • UpdatedDec 10, 2020
  • Python

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)

  • UpdatedJun 19, 2022
  • Python

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

  • UpdatedJul 6, 2022
  • Python

[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

  • UpdatedApr 25, 2023
  • Python
C2D

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

  • UpdatedMar 30, 2021
  • Python

Twin Contrastive Learning with Noisy Labels (CVPR 2023)

  • UpdatedAug 4, 2023
  • Python

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