jensen888 / Meta-Learning-PapersLinks
A classified list of meta learning papers based on realm.
☆363Updated 3 years ago
Alternatives and similar repositories for Meta-Learning-Papers
Users that are interested in Meta-Learning-Papers are comparing it to the libraries listed below
Sorting:
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆237Updated 5 years ago
- A curated list of Meta-Learning resources/papers.☆555Updated 4 years ago
- ☆154Updated 5 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆565Updated 7 years ago
- A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning☆293Updated 4 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆192Updated 6 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆817Updated last year
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Updated 6 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆249Updated 3 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Updated 5 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- Crawl & visualize ICLR papers and reviews.☆447Updated 3 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Updated 6 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆522Updated 4 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆243Updated last year
- Relevant papers in Continual Learning☆739Updated 2 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆542Updated last year
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆774Updated 4 months ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆568Updated 6 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 4 years ago
- Continuum Learning with GEM: Gradient Episodic Memory☆402Updated 6 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated last year
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆206Updated 3 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆284Updated last year
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 5 years ago
- A dataset of datasets for learning to learn from few examples☆790Updated last year
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆430Updated 5 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,152Updated 3 years ago
- An implementation of EWC with PyTorch☆255Updated 6 years ago