Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
☆38Feb 24, 2021Updated 5 years ago
Alternatives and similar repositories for cores
Users that are interested in cores are comparing it to the libraries listed below
Sorting:
- Learning with Noisy Labels by adopting a peer prediction loss function.☆35Mar 3, 2020Updated 6 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆26Apr 11, 2023Updated 2 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆35Feb 24, 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
- ☆77May 17, 2023Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆299May 22, 2023Updated 2 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Mar 30, 2021Updated 4 years ago
- A list of awesome partial-label learning papers and codes.☆36May 2, 2025Updated 10 months ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆19Mar 21, 2024Updated last year
- 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
- [Under Progress] Code & Data for the AAAI 2020 Paper "Likelihood Ratios and Generative Classifiers For Unsupervised OOD Detection In Task…☆10Jul 25, 2024Updated last year
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Nov 18, 2020Updated 5 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- ☆62Apr 17, 2024Updated last year
- Codebase for the paper "Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning"☆17Jul 12, 2021Updated 4 years ago
- Mini-batch multiplicative updates for beta-NMF☆15Jun 27, 2017Updated 8 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆16Feb 24, 2026Updated last week
- AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images☆14May 14, 2018Updated 7 years ago
- Deep Learning Research☆16Nov 13, 2019Updated 6 years ago
- implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'☆16Jul 18, 2019Updated 6 years ago
- ☆43Jan 30, 2024Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Nov 29, 2021Updated 4 years ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆19Dec 11, 2023Updated 2 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆225Feb 3, 2024Updated 2 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆575Sep 14, 2020Updated 5 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Feb 20, 2022Updated 4 years ago
- Delta Orthogonal Initialization for PyTorch☆18Jun 27, 2018Updated 7 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆42May 2, 2021Updated 4 years ago
- ☆19Jan 27, 2021Updated 5 years ago
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆42Apr 14, 2021Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Oct 24, 2023Updated 2 years ago
- ☆24Jun 22, 2022Updated 3 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Feb 28, 2023Updated 3 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Jul 5, 2019Updated 6 years ago
- ☆25May 31, 2022Updated 3 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Nov 21, 2019Updated 6 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Jun 23, 2020Updated 5 years ago