peisuke / MomentumContrast.pytorch
Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning
☆120Updated 5 months ago
Alternatives and similar repositories for MomentumContrast.pytorch:
Users that are interested in MomentumContrast.pytorch are comparing it to the libraries listed below
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 4 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆209Updated 5 years ago
- ☆131Updated 2 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 5 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆146Updated 4 years ago
- Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery☆152Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated last year
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆173Updated 3 years ago
- Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learni…☆148Updated 4 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆144Updated 2 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆221Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆118Updated last year
- Few shot learning☆155Updated 3 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243Updated 5 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆86Updated 9 months ago
- Learning What and Where to Transfer (ICML 2019)☆249Updated 4 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆251Updated 6 years ago
- (ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation☆187Updated 5 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 2 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆119Updated 4 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆254Updated 6 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 5 years ago
- Joint Optimization Framework for Learning with Noisy Labels☆45Updated 6 years ago
- MoEx (Moment Exchange)☆142Updated 3 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆148Updated 3 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago