119 citations · 170 across the 5 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar +1
Building a large image dataset with high-quality object masks for semantic segmentation is costly and time consuming. In this paper, we introduce a principled semi-supervised frame…
Improved Gradient-Based Optimization Over Discrete Distributions
Evgeny Andriyash, Arash Vahdat, Bill Macready
In many applications we seek to maximize an expectation with respect to a distribution over discrete variables. Estimating gradients of such objectives with respect to the distribu…
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Arash Vahdat, Evgeny Andriyash, William G. Macready
Boltzmann machines are powerful distributions that have been shown to be an effective prior over binary latent variables in variational autoencoders (VAEs). However, previous metho…
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat, William G. Macready, Zhengbing Bian +2
Training of discrete latent variable models remains challenging because passing gradient information through discrete units is difficult. We propose a new class of smoothing transf…