A simple PyTorch implementation of Masked Autoencoder Distribution Estimation (MADE) for binary image dataset. Based on MADE: Masked Autoencoder for Distribution Estimation by Germain et. al., and ...

Autoregressive models are among the most successful neural network methods for estimating a distribution from a set of samples. However, these models, such as other neural methods, need large data ...

Masked autoencoders (MAEs) are a self-supervised pretraining strategy for ... EPFL’s Multi-modal Multi-task Masked Autoencoder: A Simple, ... the team pretrained MultiMAE on three tasks — image ...

Keywords: human skeleton-based action recognition, variational autoencoder, vector quantized variational autoencoder, masked reconstruction model, self-supervised learning Citation: Chen E, Wang X, ...

MADE: Masked Autoencoder for Distribution Estimation. Paper on arXiv and at ICML2015. This repository is for the original Theano implementation. If you are looking for a PyTorch implementation, thanks ...