随笔分类 - 2020
摘要:MnasNet 2019-CVPR-MnasNet: Platform-Aware Neural Architecture Search for Mobile 来源:ChenBong 博客园 Institute:Google Brain、Google Author:Mingxing Tan、Quoc
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摘要:DLT 2019-NIPS-Deconstructing Lottery Tickets Zeros, Signs, and the Supermask 来源:ChenBong 博客园 Institute:Uber AI Author:Hattie Zhou、Janice Lan、Rosanne L
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摘要:FSC 2020-CVPR-Fast Sparse ConvNets 来源:ChenBong 博客园 Institute:DeepMind,Google Author:Erich Elsen,Marat Dukhan,Trevor Gale GitHub:https://github.com/goo
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摘要:APQ 2020-CVPR-APQ Joint Search for Network Architecture Pruning and Quantization Policy 来源:ChenBong 博客园 Institute:SJTU,MIT Author:Tianzhe Wang,Han Son
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摘要:Randomly Wired NN 2019-ICCV-Exploring Randomly Wired Neural Networks for Image Recognition 来源:ChenBong 博客园 Institute:FAIR Author:Saining Xie,Alexander
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摘要:DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search 2020-arxiv-DAIS: Automatic Channel Pruning via Differentiable Annealing
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摘要:Neuron Merging: Compensating for Pruned Neurons 2020-NIPS-Neuron Merging: Compensating for Pruned Neurons 来源:ChenBong 博客园 Institute:Korea Institute of
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摘要:GST 2020-NIPS-The Generalization-Stability Tradeoff In Neural Network Pruning 来源:ChenBong 博客园 Institute:Florida State University、Facebook AI Research
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摘要:PENNI 2020-ICML-PENNI: Pruned Kernel Sharing for Efficient CNN Inference 来源:ChenBong 博客园 Institute:Duke University Author:Shiyu Li、Yiran Chen GitHub:h
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摘要:BlockSwap 2020-ICLR-BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget 来源: ChenBong 博客园 Institute:University of Edinburgh
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摘要:2020-ICLR-FSNet Compression of Deep Convolutional Neural Networks by Filter Summary 来源:ChenBong 博客园 Institute:Arizona State University,Microsoft Resea
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摘要:FairNAS 2019-arxiv-FairNAS Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search 来源:ChenBong 博客园 Institute:Xiaomi AI Lab Author:
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摘要:EagleEye 2020-ECCV-EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning 来源:ChenBong 博客园 Institute:Dark Matter AI Inc.、Sun Yat-sen Un
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摘要:DMC 2020-CVPR-Discrete Model Compression with Resource Constraint for Deep Neural Networks 来源:ChenBong 博客园 Institute:University of Pittsburgh、Simon Fr
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摘要:Designing Network Design Spaces 2020-CVPR-Designing Network Design Spaces 来源:ChenBong 博客园 Institute:FAIR Author:Ilija Radosavovic、Kaiming He GitHub: h
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摘要:DropNet 2020-ICML-DropNet Reducing Neural Network Complexity via Iterative Pruning 来源:ChenBong 博客园 Institute:NUS Author:John Tan Chong Min,Mehul Motan
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摘要:Joint Search-and-Training 2020-IJCAI-Beyond Network Pruning a Joint Search-and-Training Approach 来源:ChenBong 博客园 Institute:Xidian University Author:Xi
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摘要:MSDNet 2018-ICLR-Multi-Scale Dense Networks for Resource Efficient Image Classification 来源:ChenBong 博客园 Institute:Cornell University,Fudan University,
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摘要:SPOS 2019-arxiv-Single Path One-Shot Neural Architecture Search with Uniform Sampling 来源:ChenBong 博客园 Institute:MEGVII、THU、HKUST Author:Zichao Guo、Xia
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摘要:NAS Paper 来源:ChenBong 博客园 按时间线 RL-base的NAS (使用强化学习来生成网络每一层结构,并逐一训练评估。缺点:计算量超大,模型缺乏可迁移性,不好扩展) 【NAS with RL】2017-ICLR-Neural Architecture Search with Re
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