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William J. Dally

  1. Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
    2015/10/01 by Song Han, Han, Song, Huizi Mao +3 · 340 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Generative Adversarial Networks and Image Synthesis
  2. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
    2016/02/24 by Forrest Iandola, Forrest N. Iandola, Iandola, Forrest N. +10 · 2 voices · 76 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CV
  3. Learning both Weights and Connections for Efficient Neural Networks
    2015/06/08 by Song Han, Jeff Pool, Han, Song +5 · 235 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  4. Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
    2017/12/05 by Yujun Lin, Song Han, Huizi Mao +2 · 2 voices · 24 citations
    Computer Science · Mathematics · #cs.CV #cs.DC #cs.LG #stat.ML
  5. Trained Ternary Quantization
    2016/12/04 by Chenzhuo Zhu, Song Han, Zhu, Chenzhuo +5 · 65 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. EIE: Efficient Inference Engine on Compressed Deep Neural Network
    2016/02/04 by Song Han, Xingyu Liu, Han, Song +11 · 22 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning and ELM
  7. SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
    2017/05/23 by Angshuman Parashar, Minsoo Rhu, Parashar, Angshuman +15 · 16 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Image Processing Techniques and Applications #Digital Media Forensic Detection
  8. VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference
    2021/02/08 by Steve Dai, Dai, Steve, Rangharajan Venkatesan +9 · 12 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
  9. DSD: Dense-Sparse-Dense Training for Deep Neural Networks
    2016/07/15 by Song Han, Han, Song, Jeff Pool +21 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Algorithms
  10. Efficient Sparse-Winograd Convolutional Neural Networks
    2018/02/18 by Xingyu Liu, Liu, Xingyu, Jeff Pool +5 · 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 (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  11. A Delay Metric for Video Object Detection: What Average Precision Fails to Tell
    2019/08/18 by Huizi Mao, Xiaodong Yang, Mao, Huizi +3 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Visual Attention and Saliency Detection #Adversarial Robustness in Machine Learning
  12. Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
    2017/05/31 by Morteza Mardani, Mardani, Morteza, Enhao Gong +19 · 3 citations
    Computer Science · Engineering · Medicine · #Advanced Image Processing Techniques #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
  13. Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
    2022/06/13 by Charbel Sakr, Sakr, Charbel, Steve Dai +9 · 2 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques
  14. ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA
    2016/12/01 by Song Han, Han, Song, Junlong Kang +21 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Music and Audio Processing #Natural Language Processing Techniques #Speech Recognition and Synthesis
  15. PatchNet -- Short-range Template Matching for Efficient Video Processing
    2021/03/10 by Huizi Mao, Mao, Huizi, Sibo Zhu +5 · 1 citation
    Computer Science · #Video Surveillance and Tracking Methods #Human Pose and Action Recognition #Video Analysis and Summarization
  16. CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video
    2018/09/30 by Huizi Mao, Mao, Huizi, Taeyoung Kong +3 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Video Surveillance and Tracking Methods #Visual Attention and Saliency Detection