96 citations · 491 across the 80 of their papers we have counts for
8 papers · 1 filter
Unsupervised feature learning with discriminative encoder
Gaurav Pandey, Ambedkar Dukkipati
In recent years, deep discriminative models have achieved extraordinary performance on supervised learning tasks, significantly outperforming their generative counterparts. However…
Learning to segment with image-level supervision
Gaurav Pandey, Ambedkar Dukkipati
Deep convolutional networks have achieved the state-of-the-art for semantic image segmentation tasks. However, training these networks requires access to densely labeled images, wh…
Generative Adversarial Residual Pairwise Networks for One Shot Learning
Akshay Mehrotra, Ambedkar Dukkipati
Deep neural networks achieve unprecedented performance levels over many tasks and scale well with large quantities of data, but performance in the low-data regime and tasks like on…
Attentive Recurrent Comparators
Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati
Rapid learning requires flexible representations to quickly adopt to new evidence. We develop a novel class of models called Attentive Recurrent Comparators (ARCs) that form repres…
Discriminative Neural Topic Models
Gaurav Pandey, Ambedkar Dukkipati
We propose a neural network based approach for learning topics from text and image datasets. The model makes no assumptions about the conditional distribution of the observed featu…
On Consistency of Compressive Spectral Clustering
Muni Sreenivas Pydi, Ambedkar Dukkipati
Spectral clustering is one of the most popular methods for community detection in graphs. A key step in spectral clustering algorithms is the eigen decomposition of the $n{\times}n…
Image Generation and Editing with Variational Info Generative AdversarialNetworks
Mahesh Gorijala, Ambedkar Dukkipati
Recently there has been an enormous interest in generative models for images in deep learning. In pursuit of this, Generative Adversarial Networks (GAN) and Variational Auto-Encode…
Analytic Connectivity in General Hypergraphs
Ashwin Guha, Muni Sreenivas Pydi, Biswajit Paria +1
In this paper we extend the known results of analytic connectivity to non-uniform hypergraphs. We prove a modified Cheeger's inequality and also give a bound on analytic connectivi…