mhw32 / meta-inference-publicLinks
A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)
☆14Updated 5 years ago
Alternatives and similar repositories for meta-inference-public
Users that are interested in meta-inference-public are comparing it to the libraries listed below
Sorting:
- ☆32Updated 2 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- ☆20Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Updated 2 years ago
- ☆21Updated 3 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- ☆19Updated 5 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- ☆36Updated 4 years ago
- ☆13Updated 6 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Updated 2 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Updated 4 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Updated 4 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 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…☆41Updated 4 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 4 years ago
- ☆30Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 5 years ago
- HSML Dynamic version for ICML 2019☆12Updated 5 years ago
- Variational Reinforcement Learning☆16Updated 10 months ago