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:
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆42Nov 29, 2021Updated 4 years ago
- NLNL: Negative Learning for Noisy Labels☆104Nov 14, 2019Updated 6 years ago
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆44Sep 8, 2022Updated 3 years ago
- A curated list of resources for Learning with Noisy Labels☆2,716May 3, 2025Updated last year
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆20Jun 27, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- TPAMI: Classification with noisy labels by importance reweighting.☆39Oct 4, 2019Updated 6 years ago
- implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'☆16Jul 18, 2019Updated 6 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data（ICCV2023）☆20Sep 27, 2023Updated 2 years ago
- GPU methods for alpha matting, including cutting edge research algorithms by Philip G. Lee.☆12Jan 8, 2014Updated 12 years ago
- ☆14Apr 24, 2019Updated 7 years ago
- ☆52Jan 12, 2020Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆296Dec 14, 2021Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆122Aug 16, 2020Updated 5 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Feb 24, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆26Feb 27, 2022Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Jul 5, 2024Updated last year
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Jul 5, 2019Updated 6 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆33Sep 18, 2019Updated 6 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 4 years ago
- NeurIPS'18: Masking: A New Perspective of Noisy Supervision☆55Nov 29, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆70Mar 30, 2021Updated 5 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Jun 9, 2021Updated 5 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 5 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Mar 22, 2019Updated 7 years ago
- Experiments in protein folding through language modeling☆10Dec 10, 2021Updated 4 years ago
- CLIPCleaner: Cleaning Noisy Labels with CLIP (ACM MM2024)☆15Apr 28, 2025Updated last year
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆39Aug 26, 2018Updated 7 years ago
- ☆180Jul 25, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆223Jul 30, 2020Updated 5 years ago
- PyTorch Code for the Paper: "Exploiting Uncertainty of Loss Landscape for Stochastic Optimization [Bhaskara et al. (2019)]☆16Apr 30, 2026Updated 2 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 3 months ago
- Learning with Noisy Labels by adopting a peer prediction loss function.☆35Mar 3, 2020Updated 6 years ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆19Jul 8, 2021Updated 4 years ago
- Official data release to reproduce Confident Learning paper results☆42Feb 17, 2022Updated 4 years ago