minkyujeon / MAML_PytorchLinks
MAML implementation with pytorch
☆11Updated 5 years ago
Alternatives and similar repositories for MAML_Pytorch
Users that are interested in MAML_Pytorch are comparing it to the libraries listed below
Sorting:
- MLTI for ICLR 2022☆30Updated 3 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆85Updated 3 years ago
- A Pytorch implementation of MAML☆57Updated 2 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Updated 5 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆42Updated 7 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆65Updated 3 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆243Updated last year
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆249Updated 3 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆211Updated 3 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 3 years ago
- Mutual Information Gradient Estimation☆12Updated 4 years ago
- ☆35Updated 3 years ago
- Unsupervised Meta Learning for Image Classification (UMTRA) algorithm☆21Updated 2 years ago
- Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)☆27Updated 4 years ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆147Updated 6 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Updated 2 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆55Updated 5 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆73Updated 5 years ago
- Official Implementation of SWAD (NeurIPS 2021)☆168Updated 2 years ago
- ☆154Updated 5 years ago
- Official pytorch implementation of Rainbow Memory (CVPR 2021)☆126Updated 3 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆78Updated last year
- Reproduce MAML in Pytorch with omniglot dataset.☆107Updated 5 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆172Updated 2 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- ☆13Updated 5 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 5 years ago
- An implementation of the paper "Learning to Reweight Examples for Robust Deep Learning" from ICML 2018 with PyTorch and Higher.☆28Updated 3 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆53Updated 6 years ago