noisy-labels
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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Apr 10, 2025 - Python
A curated list of resources for Learning with Noisy Labels
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May 3, 2024
Curated list of open source tooling for data-centric AI on unstructured data.
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Nov 15, 2023
A curated (most recent) list of resources for Learning with Noisy Labels
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Oct 18, 2024
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
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Apr 9, 2025 - Python
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
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May 22, 2023 - Python
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
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Dec 14, 2021 - Python
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
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Jun 16, 2021 - Python
Noise-Tolerant Paradigm for Training Face Recognition CNNs [Official, CVPR 2019]
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Mar 27, 2019 - Python
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
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Jul 5, 2024 - Python
The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.
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May 17, 2022 - Python
NLNL: Negative Learning for Noisy Labels
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Nov 14, 2019 - Python
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
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Sep 12, 2022 - Python
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
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Dec 10, 2020 - Python
MoPro: Webly Supervised Learning
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Mar 3, 2021 - Python
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)
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Jun 19, 2022 - Python
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
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Jul 6, 2022 - Python
[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
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Apr 25, 2023 - Python
PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
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Mar 30, 2021 - Python
Twin Contrastive Learning with Noisy Labels (CVPR 2023)
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Aug 4, 2023 - Python
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