Official Implementation of Robust Training under Label Noise by Over-parameterization
☆66Sep 15, 2022Updated 3 years ago
Alternatives and similar repositories for SOP
Users that are interested in SOP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [IJCAI 2023] ProMix: Combating Label Noise via Maximizing Clean Sample Utility☆81May 10, 2024Updated last year
- Sample Prior Guided Robust Model Learning to Suppress Noisy Labels☆31Mar 18, 2022Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300May 22, 2023Updated 2 years ago
- Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.☆174May 17, 2023Updated 2 years ago
- pytorch☆10Apr 13, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Learning with Noisy Labels, Label Noise, ICML 2021☆46Mar 28, 2023Updated 3 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆63Oct 10, 2024Updated last year
- ☆20May 1, 2025Updated 11 months ago
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Jan 9, 2022Updated 4 years ago
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆44Sep 8, 2022Updated 3 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Jul 19, 2022Updated 3 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆62Aug 28, 2021Updated 4 years ago
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆17Mar 31, 2025Updated last year
- Learning from noisy labels via regularization between representations☆11Feb 28, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆27Apr 11, 2023Updated 3 years ago
- A light and easy to change point cloud / lidar visualization tool, and supports multiple formats of data types.☆11Mar 17, 2021Updated 5 years ago
- ☆25May 31, 2022Updated 3 years ago
- Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)☆91Jun 19, 2022Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆30Dec 20, 2023Updated 2 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆20Jul 5, 2022Updated 3 years ago
- PyTorch Implementation of ECCV 2022 paper: "DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training".☆39Jul 20, 2022Updated 3 years ago
- Official repository for Is your noise correction noisy? PLS: Robustness to label noise with two stage detection WACV 2023☆20Dec 6, 2022Updated 3 years ago
- ☆30Jan 7, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR'22, Oral)☆26Apr 3, 2024Updated 2 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆29Apr 13, 2022Updated 4 years ago
- Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）☆27Jun 5, 2025Updated 10 months ago
- Meta Label Correction for Noisy Label Learning☆86Sep 28, 2022Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Feb 24, 2021Updated 5 years ago
- SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)☆31Mar 22, 2025Updated last year
- Official Implementation of Avoiding spurious correlations via logit correction☆17May 6, 2023Updated 2 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆35Feb 24, 2021Updated 5 years ago
- Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network (AAAI 2023)☆21Oct 28, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Jun 15, 2021Updated 4 years ago
- A curated list of resources for Learning with Noisy Labels☆2,719May 3, 2025Updated 11 months ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Jun 15, 2022Updated 3 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆224Feb 3, 2024Updated 2 years ago
- ☆18Oct 29, 2022Updated 3 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆128Oct 24, 2023Updated 2 years ago
- ☆29Apr 7, 2024Updated 2 years ago