CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
☆95Mar 28, 2022Updated 4 years ago
Alternatives and similar repositories for Sel-CL
Users that are interested in Sel-CL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Jun 15, 2021Updated 5 years ago
- ☆11Apr 16, 2024Updated 2 years ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆41May 13, 2022Updated 4 years ago
- ☆15Apr 13, 2023Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Nov 29, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆18Mar 3, 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 2 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆69Mar 30, 2021Updated 5 years ago
- Official Implementation of AAAI'24 paper "Dirichlet-Based Prediction Calibration for Learning with Noisy Labels"☆13Sep 22, 2024Updated 2 years ago
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆43Sep 8, 2022Updated 4 years ago
- [CVPR2023] DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction☆58Aug 23, 2026Updated 2 months ago
- pytorch☆10Apr 13, 2022Updated 4 years ago
- ☆15Nov 27, 2023Updated 2 years ago
- ☆20May 1, 2025Updated 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.
- ☆14Jan 7, 2023Updated 3 years ago
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆62Dec 16, 2020Updated 5 years ago
- ☆17May 2, 2024Updated 2 years ago
- Weaker Than You Think: A Critical Look at Weakly Supervised Learning☆10Oct 22, 2023Updated 3 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆27Apr 11, 2023Updated 3 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Sep 27, 2023Updated 3 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- TPAMI: Classification with noisy labels by importance reweighting.☆38Oct 4, 2019Updated 7 years ago
- A curated (most recent) list of resources for Learning with Noisy Labels☆736Oct 18, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆302May 22, 2023Updated 3 years ago
- ☆25May 31, 2022Updated 4 years ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆15Apr 18, 2022Updated 4 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆223Feb 3, 2024Updated 2 years ago
- [AAAI 21] Utilizing meta-learning to correct the noisy labels.☆15Apr 26, 2021Updated 5 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆46Oct 29, 2022Updated 4 years ago
- ☆34Sep 15, 2021Updated 5 years ago
- ☆33Mar 24, 2023Updated 3 years ago
- ☆10Jun 29, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆14Jul 29, 2023Updated 3 years ago
- A PyTorch Lightning template to try out a wide range of ideas on the Ubiquant Market Prediction competition without modifying any code!☆12Mar 24, 2022Updated 4 years ago
- Sample Prior Guided Robust Model Learning to Suppress Noisy Labels☆31Mar 18, 2022Updated 4 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Jul 19, 2022Updated 4 years ago
- self ensemble label correction☆17Jul 29, 2022Updated 4 years ago
- [NeurIPS2024] $\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise☆10Oct 5, 2026Updated 3 weeks ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆131Oct 24, 2023Updated 3 years ago