yukimasano / self-label
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
☆532Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for self-label
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆479Updated 2 years ago
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆342Updated 2 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆399Updated 4 years ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆571Updated 2 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆283Updated last year
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Updated 3 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆536Updated 2 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆224Updated 4 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆646Updated 2 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆482Updated 7 months ago
- A library for ML benchmarking. It's powerful.☆429Updated 10 months ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆750Updated 3 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆849Updated 2 years ago
- ☆367Updated 3 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆208Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆249Updated 3 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,303Updated 4 years ago
- Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020☆316Updated 2 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆980Updated 3 months ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆572Updated 4 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆602Updated 3 years ago
- ☆400Updated 3 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆181Updated last year
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆543Updated 4 years ago
- ☆311Updated 8 months ago
- SSL-FEW-SHOT☆171Updated 4 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆785Updated 9 months ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆208Updated 5 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆418Updated 4 years ago