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Priyadarshini Panda

  1. Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
    2018/02/15 by Deboleena Roy, Priyadarshini Panda, Roy, Deboleena +3 · 1 voice · 2 citations
    #cs.CV #cs.AI #eess.IV #stat.ML
  2. Conditional Deep Learning for Energy-Efficient and Enhanced Pattern\n Recognition
    2015/09/29 by Priyadarshini Panda, Panda, Priyadarshini, Abhronil Sengupta +3 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification
  3. Exploring Temporal Information Dynamics in Spiking Neural Networks
    2022/11/26 by Youngeun Kim, Yuhang Li, Kim, Youngeun +9 · 8 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  4. Neuromorphic Data Augmentation for Training Spiking Neural Networks
    2022/03/11 by Li, Yuhang, Youngeun Kim, Kim, Youngeun +5 · 7 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing
  5. Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects\n of Discrete Input Encoding and Non-Linear Activations
    2020/03/23 by Saima Sharmin, Nitin Rathi, Sharmin, Saima +5 · 5 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural and Evolutionary Computing (cs.NE)
  6. NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
    2023/04/10 by Jason Yik, Yik, Jason, Korneel Van den Berghe +208 · 1 voice · 7 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing #cs.AI
  7. STDP Based Pruning of Connections and Weight Quantization in Spiking\n Neural Networks for Energy Efficient Recognition
    2017/10/12 by Nitin Rathi, Priyadarshini Panda, Rathi, Nitin +3 · 4 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  8. Spiking Transformer with Spatial-Temporal Attention
    2024/09/29 by Donghyun Lee, Lee, Donghyun, Yuhang Li +7 · 6 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Tactile and Sensory Interactions
  9. Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation
    2021/10/14 by Youngeun Kim, Joshua Chough, Kim, Youngeun +3 · 2 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Ferroelectric and Negative Capacitance Devices
  10. SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
    2022/04/11 by Ruokai Yin, Yin, Ruokai, Abhishek Moitra +7 · 3 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function
  11. GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
    2025/04/03 by Yuhang Li, Ruokai Yin, Li, Yuhang +7 · 6 citations
    Engineering · Computer Science · #Image Processing Techniques and Applications #Fault Detection and Control Systems #Image and Signal Denoising Methods
  12. Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing
    2023/05/27 by Yuhang Li, Abhishek Moitra, Li, Yuhang +5 · 2 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function
  13. Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
    2022/07/04 by Youngeun Kim, Yuhang Li, Kim, Youngeun +9 · 2 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing
  14. Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning
    2023/08/31 by Qian Zhang, Zhang, Qian, Chenxi Wu +11 · 2 citations
    Computer Science · Engineering · Neuroscience · #Neural Networks and Reservoir Computing #Advanced Memory and Neural Computing #Neural dynamics and brain function
  15. PrivateSNN: Privacy-Preserving Spiking Neural Networks
    2021/04/07 by Youngeun Kim, Yeshwanth Venkatesha, Kim, Youngeun +3 · 1 citation
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices
  16. Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
    2022/11/14 by Yuhang Li, Ruokai Yin, Li, Yuhang +7 · 1 citation
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Context-Aware Activity Recognition Systems #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Signal Processing (eess.SP) #electronic engineering #information engineering
  17. Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits
    2025/05/27 by Yeshwanth Venkatesha, Venkatesha, Yeshwanth, Souvik Kundu +3 · 4 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Robotics (cs.RO) #Robotics and Automated Systems #and Cluster Computing (cs.DC)
  18. DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs
    2025/06/25 by Ruokai Yin, Yuhang Li, Yin, Ruokai +5 · 2 citations
    Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
  19. SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
    2022/10/24 by Abhishek Moitra, Abhiroop Bhattacharjee, Moitra, Abhishek +9 · 1 citation
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function
  20. MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks
    2023/05/16 by Ruokai Yin, Yin, Ruokai, Yuhang Li +5 · 1 citation
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Ferroelectric and Negative Capacitance Devices
  21. BRIM: Workload-Balanced Dual-Sided Bit-Serial Sparse Inference Accelerator
    2026/07/20 by Varun Manjunath, Ruokai Yin, Donghyun Lee +2
    #cs.AR #cs.AI