10 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 2 cited
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation
Akash Umakantha, Joao D. Semedo, S. Alireza Golestaneh +1
The Vision Transformer (ViT) architecture has recently achieved competitive performance across a variety of computer vision tasks. One of the motivations behind ViTs is weaker indu…
stat.ML2017★ 10 cited
A Classifying Variational Autoencoder with Application to Polyphonic Music Generation
Jay A. Hennig, Akash Umakantha, Ryan C. Williamson
The variational autoencoder (VAE) is a popular probabilistic generative model. However, one shortcoming of VAEs is that the latent variables cannot be discrete, which makes it diff…