thuml / few-shot
A lightweight library that implements state-of-the-art few-shot learning algorithms.
☆22Updated 3 years ago
Alternatives and similar repositories for few-shot:
Users that are interested in few-shot are comparing it to the libraries listed below
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- MoPro: Webly Supervised Learning☆87Updated 3 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 3 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- ☆51Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- ☆57Updated 3 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 2 years ago
- ☆44Updated 3 years ago
- IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"☆40Updated 2 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆38Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆56Updated 3 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆96Updated last year
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 3 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆42Updated 4 years ago
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Updated 4 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆99Updated 3 years ago
- noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.☆59Updated 2 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆81Updated 3 years ago
- ☆42Updated 4 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆76Updated 2 years ago
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆47Updated 2 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year