203 citations · 1.3k across the 57 of their papers we have counts for
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Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity
Sen Lu, Abhronil Sengupta
Spike-Timing-Dependent Plasticity (STDP) is an unsupervised learning mechanism for Spiking Neural Networks (SNNs) that has received significant attention from the neuromorphic hard…
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Abhronil Sengupta, Yuting Ye, Robert Wang +2
Over the past few years, Spiking Neural Networks (SNNs) have become popular as a possible pathway to enable low-power event-driven neuromorphic hardware. However, their application…
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition
Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
Deep learning neural networks have emerged as one of the most powerful classification tools for vision related applications. However, the computational and energy requirements asso…
Energy-Efficient Object Detection using Semantic Decomposition
Priyadarshini Panda, Swagath Venkataramani, Abhronil Sengupta +2
Machine-learning algorithms offer immense possibilities in the development of several cognitive applications. In fact, large scale machine-learning classifiers now represent the st…