PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators

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Rich feature hierarchies for accurate object detection and semantic segmentation

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Diannao: A small-footprint high-throughput accelerator for ubiquitous machine-learning

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Imagenet classification with deep convolutional neural networks

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Structured pruning of deep convolutional neural networks

Learning to prune filters in convolutional neural networks

Qiangui Huang, Shaohua Kevin Zhou, Suya You, and Ulrich Neumann · 2018

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Efficient hardware realization of convolutional neural networks using intra-kernel regular pruning

Maurice Yang, Mahmoud Faraj, Assem Hussein, and Vincent C. Gaudet · 2018

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Synaptic strength for convolutional neural network

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UNPU: an energy-efficient deep neural network accelerator with fully variable weight bit precision

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REQ-YOLO: A resource-aware, efficient quantization framework for object detection on fpgas

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