AntreasAntoniou / FewShotContinualLearningDataProviderLinks
The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".
☆16Updated 5 years ago
Alternatives and similar repositories for FewShotContinualLearningDataProvider
Users that are interested in FewShotContinualLearningDataProvider are comparing it to the libraries listed below
Sorting:
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆35Updated 5 years ago
- ☆29Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆99Updated last year
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 4 years ago
- The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Updated 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 the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆39Updated 3 years ago
- Laplacian Regularized Few Shot Learning☆83Updated 3 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆49Updated 2 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy☆33Updated 5 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated last year
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆23Updated 3 years ago
- PyTorch code for the paper "CrossTransformers: spatially-aware few-shot transfer"☆24Updated 4 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆63Updated 3 years ago
- Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning☆56Updated 5 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 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
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 5 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Updated 5 years ago
- Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"☆32Updated 4 years ago
- ☆32Updated 4 years ago
- Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.☆52Updated last year
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago