[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
☆63Oct 10, 2024Updated last year
Alternatives and similar repositories for UNICON
Users that are interested in UNICON are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"☆18Oct 8, 2024Updated last year
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Nov 29, 2021Updated 4 years ago
- The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"☆57Jul 19, 2023Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Mar 28, 2022Updated 4 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Jun 15, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- 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
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆66Sep 15, 2022Updated 3 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Sep 27, 2023Updated 2 years ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆20Mar 21, 2024Updated 2 years ago
- pytorch☆10Apr 13, 2022Updated 4 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Mar 30, 2021Updated 5 years ago
- This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".☆33Mar 16, 2025Updated last year
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆577Sep 14, 2020Updated 5 years ago
- Sample Prior Guided Robust Model Learning to Suppress Noisy Labels☆31Mar 18, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆301May 22, 2023Updated 2 years ago
- ☆13Jun 15, 2021Updated 4 years ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Oct 5, 2021Updated 4 years ago
- ☆14Dec 21, 2024Updated last year
- ☆17Nov 27, 2023Updated 2 years ago
- [IJCAI 2023] ProMix: Combating Label Noise via Maximizing Clean Sample Utility☆80May 10, 2024Updated last year
- Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix☆12Jan 29, 2024Updated 2 years ago
- ☆14Jan 7, 2023Updated 3 years ago
- A list of awesome partial-label learning papers and codes.☆36May 2, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A curated (most recent) list of resources for Learning with Noisy Labels☆727Oct 18, 2024Updated last year
- The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.☆121May 17, 2022Updated 3 years ago
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆18Mar 31, 2025Updated last year
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Jan 9, 2022Updated 4 years ago
- ☆26Aug 6, 2024Updated last year
- Learning from noisy labels via regularization between representations☆11Feb 28, 2023Updated 3 years ago
- NeurIPS 2020, "A Topological Filter for Learning with Label Noise".☆31Apr 11, 2025Updated last year
- [CVPR2024] Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts☆31Jun 18, 2024Updated last year
- Learning with Noisy Labels by adopting a peer prediction loss function.☆35Mar 3, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆20Apr 19, 2023Updated 3 years ago
- ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise☆15May 1, 2021Updated 5 years ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Aug 29, 2021Updated 4 years ago
- Source code for NeurIPS 2022 paper SoLar☆30Dec 20, 2023Updated 2 years ago
- This repo provides the codebase for "A General Framework for Weak Supervision"☆41Jun 3, 2024Updated last year
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆56Aug 30, 2024Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,717May 3, 2025Updated last year