353 citations · 1.2k across the 32 of their papers we have counts for
3 papers · 1 filter
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
Devansh Arpit, Aadyot Bhatnagar, Huan Wang +1
Wasserstein autoencoder (WAE) shows that matching two distributions is equivalent to minimizing a simple autoencoder (AE) loss under the constraint that the latent space of this AE…
Residual Connections Encourage Iterative Inference
Stanisław Jastrzębski, Devansh Arpit, Nicolas Ballas +3
Residual networks (Resnets) have become a prominent architecture in deep learning. However, a comprehensive understanding of Resnets is still a topic of ongoing research. A recent…
An Analysis of Random Projections in Cancelable Biometrics
Devansh Arpit, Ifeoma Nwogu, Gaurav Srivastava +1
With increasing concerns about security, the need for highly secure physical biometrics-based authentication systems utilizing \emph{cancelable biometric} technologies is on the ri…