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6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.

, , , , , , , , , , , , , , , and . CoRR, (2020)

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A new theory of complexity science management - Big organization., , , , and . GrC, page 449-458. IEEE Computer Society, (2013)All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management., , , , , , , , and . ICCAD, page 133:1-133:9. ACM, (2022)MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge., , , , , , , , , and 6 other author(s). NeurIPS, page 20838-20850. (2021)A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework., , , , , , , , , and 1 other author(s). ACM Great Lakes Symposium on VLSI, page 119-124. ACM, (2020)A novel damage identification algorithm by combining the boundary element method and a series connection neural network., , and . Eng. Appl. Artif. Intell., (2024)Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution., , , , , , , , , and . ECCV (19), volume 13679 of Lecture Notes in Computer Science, page 92-111. Springer, (2022)Representation Learning on Spatial Networks., and . NeurIPS, page 2303-2318. (2021)A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods., , , , , , and . DAC, page 493-498. IEEE, (2021)A new algorithm for water information extraction from high resolution remote sensing imagery., , , , and . ICIP, page 4359-4363. IEEE, (2016)Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization., , , , , and . IJCAI, page 5306-5308. ijcai.org, (2020)Demo.