440 citations · 1.2k across the 89 of their papers we have counts for
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A Low Effort Approach to Structured CNN Design Using PCA
Isha Garg, Priyadarshini Panda, Kaushik Roy
Deep learning models hold state of the art performance in many fields, yet their design is still based on heuristics or grid search methods that often result in overparametrized ne…
Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness
Priyadarshini Panda, Kaushik Roy
We introduce a Noise-based prior Learning (NoL) approach for training neural networks that are intrinsically robust to adversarial attacks. We find that the implicit generative mod…
Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons
Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity +3
Neuromorphic computing, inspired by the brain, promises extreme efficiency for certain classes of learning tasks, such as classification and pattern recognition. The performance an…
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy, Priyadarshini Panda, Kaushik Roy
Over the past decade, Deep Convolutional Neural Networks (DCNNs) have shown remarkable performance in most computer vision tasks. These tasks traditionally use a fixed dataset, and…