maximum likelihood estimation

by Synced 2022-04-01 0

Cash App Labs Modifies the Very Deep VAE to Achieve a 2.6x Speedup and 20x Memory Reduction

Researchers from Cash App Labs introduce simple modifications to the Very Deep Variational Autoencoder (VAE) that speedup convergence by 2.6x, save up to 20x in memory, and improve stability during training. Their modified VDVAE achieves state-of-the-art performance on seven commonly used image datasets.

by Synced 2017-07-24 0

Research

Generalizing and Hybridizing Count-based and Neural Language Model

This paper demonstrates a framework called Mixture Of Distribution Language Models (MODLMs), which provides a single mathematical framework that encompasses several widely used classes of LMs.