autoencoder | Synced

by Synced 2022-04-08 0

EPFL’s Multi-modal Multi-task Masked Autoencoder: A Simple, Flexible and Effective ViT Pretraining Strategy Applicable to Any RGB Dataset

The Swiss Federal Institute of Technology Lausanne (EPFL) presents Multi-modal Multi-task Masked Autoencoders (MultiMAE), a simple and effective pretraining strategy that enables masked autoencoding to include multiple modalities and tasks and is applicable to any RGB dataset.

by Synced 2019-07-18 1

AI Research

Deep TabNine: A Powerful AI Code Autocompleter For Developers

The developers behind TabNine have introduced a new deep learning model, “Deep TabNine,” which significantly improves suggestion quality.

by Synced 2017-07-30 0

Research

PixelGAN Autoencoders

PixelGAN is an autoencoder for which the generative path is a convolutional autoregressive neural network on pixels, conditioned on a latent code, and the recognition path uses a generative adversarial network (GAN) to impose a prior distribution on the latent code.

by Synced 2017-06-08 0

Research

Adversarial Generator-Encoder Networks

New autoencoder-like generative network, called Adversarial Generator-Encoder Networks (AGE Network), does not have any discriminators, which makes the entire architecture much simpler than some recently-proposed GANs, but with nearly the same-level performance