peisuke / MomentumContrast.pytorchLinks
Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning
☆120Updated 10 months ago
Alternatives and similar repositories for MomentumContrast.pytorch
Users that are interested in MomentumContrast.pytorch are comparing it to the libraries listed below
Sorting:
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆147Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 5 years ago
- Few shot learning☆155Updated 3 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 6 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆194Updated 5 years ago
- ☆129Updated 2 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 6 years ago
- ☆132Updated 4 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 3 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆118Updated 4 years ago
- MoEx (Moment Exchange)☆141Updated 4 years ago
- Joint Optimization Framework for Learning with Noisy Labels☆45Updated 7 years ago
- Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learni…☆150Updated 5 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Updated 4 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Updated 3 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆94Updated 5 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆163Updated 5 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆88Updated last year
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"☆249Updated 2 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 3 years ago
- ☆172Updated 4 years ago