Optimizing the Whole-life Cost in End-to-end CNN Acceleration

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Optimizing the Whole-life Cost in End-to-end CNN Acceleration

12 April 2021

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Papers citing "Optimizing the Whole-life Cost in End-to-end CNN Acceleration"

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Title
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs Jonathan Frankle D. Schwab Ari S. Morcos 106 143 0 29 Feb 2020
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators Hang Lu Xin Wei Ning Lin Guihai Yan Xiaowei Li MQ 22 31 0 14 Nov 2018
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators Xuan S. Yang Mingyu Gao Qiaoyi Liu Jeff Setter Jing Pu ... Kaidi Cao Heonjae Ha Priyanka Raina Christos Kozyrakis M. Horowitz 190 231 0 10 Sep 2018
Restructuring Batch Normalization to Accelerate CNN Training Wonkyung Jung Daejin Jung and Byeongho Kim Sunjung Lee Wonjong Rhee Jung Ho Ahn 52 63 0 04 Jul 2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition Kartik Hegde Jiyong Yu R. Agrawal Mengjia Yan Michael Pellauer Christopher W. Fletcher 68 166 0 18 Apr 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 103 649 0 08 Feb 2018
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 203 4,613 0 26 Oct 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,918 0 17 Apr 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 239 4,648 0 16 Apr 2017
Bit-pragmatic Deep Neural Network Computing Jorge Albericio Patrick Judd A. Delmas Sayeh Sharify Andreas Moshovos MQ 89 244 0 20 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 873 36,910 0 25 Aug 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 102 4,179 0 25 Apr 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 132 2,461 0 04 Feb 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 543 62,477 0 04 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,357 0 11 Feb 2015
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan M. Cohen J. Tran Bryan Catanzaro Evan Shelhamer 144 1,849 0 03 Oct 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 499 43,717 0 17 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 298 14,717 0 20 Jun 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 607 15,907 0 12 Nov 2013