paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code
☆78Jul 15, 2022Updated 3 years ago
Alternatives and similar repositories for O2U-Net
Users that are interested in O2U-Net are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆44Sep 8, 2022Updated 3 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆520Aug 19, 2021Updated 4 years ago
- A curated list of resources for Learning with Noisy Labels☆2,719May 3, 2025Updated 11 months ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆20Jun 27, 2021Updated 4 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆46Oct 29, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- TPAMI: Classification with noisy labels by importance reweighting.☆39Oct 4, 2019Updated 6 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data（ICCV2023）☆20Sep 27, 2023Updated 2 years ago
- Tutorial about noisy labels for SIBGRAPI 2020☆11Nov 6, 2020Updated 5 years ago
- ☆11Oct 8, 2020Updated 5 years ago
- GPU methods for alpha matting, including cutting edge research algorithms by Philip G. Lee.☆12Jan 8, 2014Updated 12 years ago
- ☆53Jan 12, 2020Updated 6 years ago
- A Survey☆572Feb 13, 2023Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆293Dec 14, 2021Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Jul 5, 2024Updated last year
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Jul 5, 2019Updated 6 years ago
- ☆11Jan 15, 2021Updated 5 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆51Feb 28, 2023Updated 3 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆29Dec 30, 2021Updated 4 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆129Nov 12, 2019Updated 6 years ago
- Few-shot learning with mislabeled support samples☆44Feb 28, 2023Updated 3 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆29Apr 26, 2022Updated 3 years ago
- Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets☆16May 17, 2021Updated 4 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆17Dec 14, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 新词发现/新词挖掘/自由度/凝固度/python3☆10May 28, 2019Updated 6 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Mar 30, 2021Updated 5 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Jun 9, 2021Updated 4 years ago
- Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks☆327Mar 25, 2023Updated 3 years ago
- MetaMix for ICML 2021☆27Jun 9, 2021Updated 4 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆268Mar 22, 2019Updated 7 years ago
- CLIPCleaner: Cleaning Noisy Labels with CLIP (ACM MM2024)☆15Apr 28, 2025Updated 11 months ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆39Aug 26, 2018Updated 7 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆224Jul 30, 2020Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆180Jul 25, 2024Updated last year
- PyTorch Code for the Paper: "Exploiting Uncertainty of Loss Landscape for Stochastic Optimization [Bhaskara et al. (2019)]☆16Dec 8, 2025Updated 4 months ago
- This is an extension of kaldi speech recognition software which allows to perform decoding of speech with hybrid word and phoneme graphs.…☆11Feb 4, 2020Updated 6 years ago
- ☆13Mar 29, 2026Updated 2 weeks ago
- Learning with Noisy Labels by adopting a peer prediction loss function.☆35Mar 3, 2020Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Dec 10, 2020Updated 5 years ago
- ☆13Mar 21, 2025Updated last year