40 citations · 51 across the 13 of their papers we have counts for
3 papers · 1 filter
AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework
Raunak Sinha, Anush Sankaran, Mayank Vatsa +1
Generative models are becoming increasingly popular in the literature, with Generative Adversarial Networks (GAN) being the most successful variant, yet. With this increasing deman…
On Learning Density Aware Embeddings
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa
Deep metric learning algorithms have been utilized to learn discriminative and generalizable models which are effective for classifying unseen classes. In this paper, a novel noise…
Guided Dropout
Rohit Keshari, Richa Singh, Mayank Vatsa
Dropout is often used in deep neural networks to prevent over-fitting. Conventionally, dropout training invokes \textit{random drop} of nodes from the hidden layers of a Neural Net…