snap-stanford / comet
[ICLR 2021] Concept Learners for Few-Shot Learning
☆115Updated last year
Alternatives and similar repositories for comet:
Users that are interested in comet are comparing it to the libraries listed below
- Hyperspherical Prototype Networks☆66Updated 4 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆209Updated 2 years ago
- ☆39Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆119Updated 3 years ago
- Laplacian Regularized Few Shot Learning☆82Updated 2 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆119Updated last year
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆99Updated 4 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆58Updated 4 years ago
- ☆58Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆32Updated 3 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆130Updated 4 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆63Updated 5 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆96Updated last year
- ☆46Updated 4 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated 10 months ago
- ☆132Updated 3 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 4 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆147Updated last year
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated last year