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Kim, Youngeun

  1. SEENN: Towards Temporal Spiking Early-Exit Neural Networks
    2023/04/02 by Li, Yuhang, Geller, Tamar, Kim, Youngeun +1 · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  2. Exploring Temporal Information Dynamics in Spiking Neural Networks
    2022/11/26 by Youngeun Kim, Kim, Youngeun, Yuhang Li +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
  3. 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
  4. Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
    2022/01/31 by Kim, Youngeun, Park, Hyoungseob, Moitra, Abhishek +3 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  5. Domain Adaptation without Source Data
    2020/07/03 by Kim, Youngeun, Cho, Donghyeon, Han, Kyeongtak +2 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  6. Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
    2020/10/05 by Kim, Youngeun, Panda, Priyadarshini · 4 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  7. Do We Really Need a Large Number of Visual Prompts?
    2023/05/26 by Kim, Youngeun, Li, Yuhang, Moitra, Abhishek +2 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  8. Spiking Transformer with Spatial-Temporal Attention
    2024/09/29 by Donghyun Lee, Yuhang Li, Lee, Donghyun +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, Abhishek Moitra, Yin, Ruokai +7 · 3 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function
  11. Neural Architecture Search for Spiking Neural Networks
    2022/01/23 by Kim, Youngeun, Li, Yuhang, Park, Hyoungseob +2 · 2 citations
    #Artificial Intelligence (cs.AI) #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
  12. Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
    2023/04/25 by Li, Yuhang, Kim, Youngeun, Park, Hyoungseob +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  13. Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
    2022/07/04 by Youngeun Kim, Kim, Youngeun, Yuhang Li +9 · 2 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing
  14. GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
    2023/12/07 by Yuhang Li, Li, Yuhang, Youngeun Kim +5 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  15. Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning
    2023/08/31 by Qian Zhang, Chenxi Wu, Zhang, Qian +11 · 2 citations
    Computer Science · Engineering · Neuroscience · #Neural Networks and Reservoir Computing #Advanced Memory and Neural Computing #Neural dynamics and brain function
  16. CNN-based Semantic Segmentation using Level Set Loss
    2019/10/02 by Kim, Youngeun, Kim, Seunghyeon, Kim, Taekyung +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  17. One-stage Prompt-based Continual Learning
    2024/02/25 by Kim, Youngeun, Li, Yuhang, Panda, Priyadarshini · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  18. Associative Partial Domain Adaptation
    2020/08/07 by Youngeun Kim, Kim, Youngeun, Sungeun Hong +9 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Multimodal Machine Learning Applications
  19. PrivateSNN: Privacy-Preserving Spiking Neural Networks
    2021/04/07 by Youngeun Kim, Kim, Youngeun, Yeshwanth Venkatesha +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
  20. Loss-based Sequential Learning for Active Domain Adaptation
    2022/04/25 by Han, Kyeongtak, Kim, Youngeun, Han, Dongyoon +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  21. 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
  22. Open-World Dynamic Prompt and Continual Visual Representation Learning
    2024/09/09 by Kim, Youngeun, Fang, Jun, Zhang, Qin +7 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  23. ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition
    2024/09/03 by Xiao, Shiting, Li, Yuhang, Kim, Youngeun +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Task Vector Quantization for Memory-Efficient Model Merging
    2025/03/10 by Kim, Youngeun, Lee, Seunghwan, Jung, Aecheon +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)