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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

50 / 1,731 papers shown

Title
Self-Referenced Deep Learning Xu Lan Xiatian Zhu S. Gong 138 24 0 19 Nov 2018
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method Yu-xin Zhang Huan Wang Yang Luo Lu Yu Roland Hu Hangguan Shan Tony Q. S. Quek 3DPC 60 11 0 19 Nov 2018
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator Jonathan Lew Deval Shah Suchita Pati Shaylin Cattell Mengchi Zhang ... Christopher Ng Negar Goli Matthew D. Sinclair Timothy G. Rogers Tor M. Aamodt 84 65 0 18 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution Van-Thanh Hoang K. Jo 65 3 0 17 Nov 2018
Composite Binary Decomposition Networks You Qiaoben Ziyi Wang Jianguo Li Yinpeng Dong Yu-Gang Jiang Jun Zhu MQ 28 0 0 16 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 91 14 0 14 Nov 2018
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators Hang Lu Xin Wei Ning Lin Guihai Yan Xiaowei Li MQ 35 31 0 14 Nov 2018
A Framework of Transfer Learning in Object Detection for Embedded Systems Ioannis Athanasiadis Panagiotis G. Mousouliotis L. Petrou ObjD 59 14 0 12 Nov 2018
Biologically-plausible learning algorithms can scale to large datasets Y. Chitour Honglin Chen Zhenyu Liao T. Poggio 109 76 0 08 Nov 2018
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 104 184 0 08 Nov 2018
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition Yuke Zhu Anchit Gupta MQ 70 2 0 07 Nov 2018
Synaptic Strength For Convolutional Neural Network Robert Frank Martorano Zhao Zhong Wei Wu Junjie Yan CVBM 77 32 0 06 Nov 2018
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators Yulhwa Kim Hyungjun Kim Jae-Joon Kim MQ 33 12 0 06 Nov 2018
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 157 68 0 05 Nov 2018
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance Zechun Liu Wenhan Luo Baoyuan Wu Xin Yang Wen Liu K. Cheng MQ 82 96 0 04 Nov 2018
Rethinking floating point for deep learning Jeff Johnson MQ 136 140 0 01 Nov 2018
SplineNets: Continuous Neural Decision Graphs Cem Keskin Shahram Izadi 69 11 0 31 Oct 2018
DeepTwist: Learning Model Compression via Occasional Weight Distortion Dongsoo Lee Parichay Kapoor Byeongwook Kim 69 19 0 30 Oct 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 166 601 0 28 Oct 2018
Automating Generation of Low Precision Deep Learning Operators M. Cowan T. Moreau Tianqi Chen Luis Ceze MQ 66 13 0 25 Oct 2018
Differentiable Fine-grained Quantization for Deep Neural Network Compression Hsin-Pai Cheng Yuanjun Huang Xuyang Guo Yifei Huang Feng Yan Hai Helen Li Yiran Chen MQ 111 14 0 20 Oct 2018
Pruning Deep Neural Networks using Partial Least Squares Artur Jordão Ricardo Kloss Fernando A. A. Yamada William Robson Schwartz 49 10 0 17 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen Xinyu Lin Yanzhi Wang AI4CE 120 38 0 17 Oct 2018
Quantization for Rapid Deployment of Deep Neural Networks J. Lee Sangwon Ha Saerom Choi Won-Jo Lee Seungwon Lee MQ 82 49 0 12 Oct 2018
Training Deep Neural Network in Limited Precision Hyunsun Park J. Lee Youngmin Oh Sangwon Ha Seungwon Lee 49 8 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 125 1,483 0 11 Oct 2018
Combinatorial Attacks on Binarized Neural Networks Elias Boutros Khalil Amrita Gupta B. Dilkina AAML 98 40 0 08 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm Zhichao Lu Ian Whalen Vishnu Boddeti Yashesh D. Dhebar Kalyanmoy Deb E. Goodman W. Banzhaf 117 81 0 08 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 76 32 0 04 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 110 132 0 03 Oct 2018
Post-training 4-bit quantization of convolution networks for rapid-deployment Ron Banner Yury Nahshan Elad Hoffer Daniel Soudry MQ 98 95 0 02 Oct 2018
Training compact deep learning models for video classification using circulant matrices Alexandre Araujo Benjamin Négrevergne Y. Chevaleyre Jamal Atif 75 14 0 02 Oct 2018
LIT: Block-wise Intermediate Representation Training for Model Compression Animesh Koratana Daniel Kang Peter Bailis Matei A. Zaharia 50 12 0 02 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 81 67 0 02 Oct 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 120 119 0 01 Oct 2018
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization Chaim Baskin Natan Liss Yoav Chai Evgenii Zheltonozhskii Eli Schwartz Raja Giryes A. Mendelson A. Bronstein MQ 107 62 0 29 Sep 2018
Learning Recurrent Binary/Ternary Weights A. Ardakani Zhengyun Ji S. C. Smithson B. Meyer W. Gross MQ 90 28 0 28 Sep 2018
The Convergence of Sparsified Gradient Methods Dan Alistarh Torsten Hoefler M. Johansson Sarit Khirirat Nikola Konstantinov Cédric Renggli 185 493 0 27 Sep 2018
Learning to Train a Binary Neural Network Joseph Bethge Haojin Yang Christian Bartz Christoph Meinel MQ 55 12 0 27 Sep 2018
Rediscovering Deep Neural Networks Through Finite-State Distributions Amir Emad Marvasti Ehsan Emad Marvasti George Atia H. Foroosh 120 0 0 26 Sep 2018
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing J. McKinstry D. Barch Deepika Bablani M. DeBole S. K. Esser J. Kusnitz John V. Arthur D. Modha OffRL 88 5 0 25 Sep 2018
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference S. Baluja David Marwood Michele Covell Nick Johnston MQ 49 8 0 24 Sep 2018
Shift-based Primitives for Efficient Convolutional Neural Networks Huasong Zhong Xianggen Liu Yihui He Yuchun Ma 77 20 0 22 Sep 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 41 4 0 18 Sep 2018
Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing Zhuo Chen Weisi Lin Shiqi Wang Ling-yu Duan Alex C. Kot 88 17 0 17 Sep 2018
High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training B. Obradovic T. Rakshit R. Hatcher J. Kittl M. Rodder 31 2 0 13 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 61 0 0 12 Sep 2018
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference J. McKinstry S. K. Esser R. Appuswamy Deepika Bablani John V. Arthur Izzet B. Yildiz D. Modha MQ 79 94 0 11 Sep 2018
Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer Jonathan C. Balloch Varun Agrawal Irfan Essa Sonia Chernova 79 13 0 11 Sep 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 98 52 0 10 Sep 2018