most citedReconstructing Self Organizing Maps as Spider Graphs for better visual interpretation of large unstructured datasets

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2018

RePr: Improved Training of Convolutional Filters

Aaditya Prakash, James Storer, Dinei Florencio +1

A well-trained Convolutional Neural Network can easily be pruned without significant loss of performance. This is because of unnecessary overlap in the features captured by the net…

cs.CV2018

Protecting JPEG Images Against Adversarial Attacks

Aaditya Prakash, Nick Moran, Solomon Garber +2

As deep neural networks (DNNs) have been integrated into critical systems, several methods to attack these systems have been developed. These adversarial attacks make imperceptible…

cs.CL2018

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference

Reza Ghaeini, Sadid A. Hasan, Vivek Datla +7

We present a novel deep learning architecture to address the natural language inference (NLI) task. Existing approaches mostly rely on simple reading mechanisms for independent enc…

cs.DC2012

Measures of Fault Tolerance in Distributed Simulated Annealing

Aaditya Prakash

In this paper, we examine the different measures of Fault Tolerance in a Distributed Simulated Annealing process. Optimization by Simulated Annealing on a distributed system is pro…

cs.GR20121 cited

Reconstructing Self Organizing Maps as Spider Graphs for better visual interpretation of large unstructured datasets

Aaditya Prakash

Self-Organizing Maps (SOM) are popular unsupervised artificial neural network used to reduce dimensions and visualize data. Visual interpretation from Self-Organizing Maps (SOM) ha…