mingzhang-yin / Meta-learning-without-memorizationLinks
A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can prevent it. (ICLR 2020)
☆20Updated 2 years ago
Alternatives and similar repositories for Meta-learning-without-memorization
Users that are interested in Meta-learning-without-memorization are comparing it to the libraries listed below
Sorting:
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆63Updated 5 years ago
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated 2 years ago
- ARML for ICLR 2020☆42Updated 5 years ago
- ☆32Updated 2 years ago
- ☆14Updated 6 years ago
- ☆31Updated 3 years ago
- ☆27Updated 4 years ago
- Learning To Stop While Learning To Predict☆34Updated 2 years ago
- MAML implementation (tensorflow)☆15Updated 6 years ago
- ☆63Updated 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
- ☆17Updated 2 years ago
- ☆42Updated 5 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆42Updated 2 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 3 years ago
- ☆36Updated 4 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11Updated 6 years ago
- ☆84Updated last year
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 3 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated 2 years ago
- ☆53Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 6 years ago
- ☆42Updated 6 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆35Updated 4 years ago