thuml / few-shot
A lightweight library that implements state-of-the-art few-shot learning algorithms.
☆23Updated 4 years ago
Alternatives and similar repositories for few-shot
Users that are interested in few-shot are comparing it to the libraries listed below
Sorting:
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆106Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Code for Active Mixup in 2020 CVPR☆22Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆97Updated last year
- MoPro: Webly Supervised Learning☆87Updated 2 weeks ago
- ☆92Updated 4 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- ☆45Updated 3 years ago
- noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.☆59Updated 2 years ago
- IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"☆41Updated 2 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).☆72Updated 3 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆163Updated 4 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆42Updated 4 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- ☆58Updated 3 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 4 years ago