Priyadarshini Panda

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

Chankyu Lee, Syed Shakib Sarwar, Priyadarshini Panda et al. · Frontiers in Neuroscience · 2020 · 429 citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning

Chankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan et al. · Frontiers in Neuroscience · 2018 · 204 citations · Full text

Life Sciences, Computer Science, Computational Neuroscience +16

Domain Adaptation Without Source Data

Youngeun Kim, Donghyeon Cho, Kyeongtak Han et al. · IEEE Transactions on Artificial Intelligence · 2021 · 175 citations

Computing, Computer Science, Machine Learning +8

Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike\n Timing Dependent Backpropagation

Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda et al. · arXiv (Cornell University) · 2020 · 164 citations · Full text

Computing, Computer Engineering, Computer Science +14

Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch

Youngeun Kim, Priyadarshini Panda · Frontiers in Neuroscience · 2021 · 161 citations · Full text

Computing, Computer Science, Computer Vision +14