AntreasAntoniou / FewShotContinualLearningLinks
The original code for the paper "Benchmarks for Continual Few-Shot Learning".
☆35Updated 5 years ago
Alternatives and similar repositories for FewShotContinualLearning
Users that are interested in FewShotContinualLearning are comparing it to the libraries listed below
Sorting:
- The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".☆16Updated 5 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆52Updated 4 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 5 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆50Updated 2 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Updated 3 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 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
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆78Updated 4 years ago
- PyTorch code for the paper "CrossTransformers: spatially-aware few-shot transfer"☆24Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆102Updated 2 years ago
- Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.☆29Updated 4 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆65Updated 3 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Updated 5 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated 2 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆100Updated 2 years ago
- ☆57Updated 3 years ago
- Evaluating AlexNet features at various depths☆40Updated 5 years ago
- ☆26Updated 5 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 5 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- ☆30Updated 4 years ago