55 citations · 63 across the 4 of their papers we have counts for
4 papers
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda, Aparna Aketi, Kaushik Roy
Spiking Neural Networks (SNNs) may offer an energy-efficient alternative for implementing deep learning applications. In recent years, there have been several proposals focused on…
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks
Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy
Adversarial examples are perturbed inputs that are designed (from a deep learning network's (DLN) parameter gradients) to mislead the DLN during test time. Intuitively, constrainin…
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition
Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe +1
Machine-learning algorithms have shown outstanding image recognition or classification performance for computer vision applications. However, the compute and energy requirement for…
Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition
Priyadarshini Panda, Kaushik Roy
One of the key challenges in machine learning is to design a computationally efficient multi-class classifier while maintaining the output accuracy and performance. In this paper,…