222 citations · 266 across the 7 of their papers we have counts for
10 papers
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Syed Ashar Javed, Dinkar Juyal, Harshith Padigela +3
Multiple Instance Learning (MIL) has been widely applied in pathology towards solving critical problems such as automating cancer diagnosis and grading, predicting patient prognosi…
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…
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…
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…
Deflecting Adversarial Attacks with Pixel Deflection
Aaditya Prakash, Nick Moran, Solomon Garber +2
CNNs are poised to become integral parts of many critical systems. Despite their robustness to natural variations, image pixel values can be manipulated, via small, carefully craft…
Condensed Memory Networks for Clinical Diagnostic Inferencing
Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan +5
Diagnosis of a clinical condition is a challenging task, which often requires significant medical investigation. Previous work related to diagnostic inferencing problems mostly con…
Semantic Perceptual Image Compression using Deep Convolution Networks
Aaditya Prakash, Nick Moran, Solomon Garber +2
It has long been considered a significant problem to improve the visual quality of lossy image and video compression. Recent advances in computing power together with the availabil…
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Aaditya Prakash, Sadid A. Hasan, Kathy Lee +4
In this paper, we propose a novel neural approach for paraphrase generation. Conventional para- phrase generation methods either leverage hand-written rules and thesauri-based alig…
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…
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…