snap-stanford / cometLinks
[ICLR 2021] Concept Learners for Few-Shot Learning
☆115Updated 2 years ago
Alternatives and similar repositories for comet
Users that are interested in comet are comparing it to the libraries listed below
Sorting:
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆35Updated 4 years ago
- ☆57Updated 3 years ago
- ☆83Updated last year
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Another Domain Adaptation library, aimed at researchers.☆101Updated 5 months ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆62Updated 5 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆123Updated 2 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆212Updated 3 years ago
- ☆63Updated 4 years ago
- ☆38Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- Self-Explaining Neural Networks☆13Updated 2 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- MoCo with Alignment and Uniformity Loss.☆62Updated 3 years ago
- code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"☆46Updated 6 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- pytorch implementation of manifold-mixup☆22Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- ARML for ICLR 2020☆42Updated 5 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆100Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆77Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆52Updated 4 years ago