vfdev-5 / BootstrappingLossLinks
Bootstrapping loss function implementation in pytorch
☆36Updated 4 years ago
Alternatives and similar repositories for BootstrappingLoss
Users that are interested in BootstrappingLoss are comparing it to the libraries listed below
Sorting:
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 5 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆60Updated 6 years ago
- custom pytorch implementation of MoCo v3☆46Updated 4 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- an implementation of mixup☆41Updated 5 years ago
- ☆93Updated 4 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆97Updated 6 years ago
- paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code☆78Updated 3 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Updated 2 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆180Updated 3 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Updated last year
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆177Updated 3 years ago
- ☆95Updated 2 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆96Updated 5 years ago
- pytorch implementation of manifold-mixup☆22Updated 2 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆173Updated 4 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆117Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆138Updated last year
- ☆130Updated 2 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- ☆53Updated 4 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.☆59Updated 3 years ago
- 1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge…☆47Updated 3 years ago
- Official data release to reproduce Confident Learning paper results☆41Updated 3 years ago