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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
Local Binary Pattern Networks Jeng-Hau Lin Yunfan Yang Rajesh K. Gupta Zhuowen Tu MQ 64 13 0 19 Mar 2018
A neural network memory prefetcher using semantic locality L. Peled U. Weiser Yoav Etsion 65 43 0 19 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation Sachin Mehta Mohammad Rastegari A. Caspi Linda G. Shapiro Hannaneh Hajishirzi SSeg 165 784 0 19 Mar 2018
EVA $^2$ : Exploiting Temporal Redundancy in Live Computer Vision Mark Buckler Philip Bedoukian Suren Jayasuriya Adrian Sampson 126 80 0 16 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 103 81 0 16 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 84 185 0 15 Mar 2018
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation Xiaowei Xu Q. Lu Yu Hu Lin Yang X. S. Hu Benlin Liu Yiyu Shi MedIm 99 85 0 13 Mar 2018
ShuffleSeg: Real-time Semantic Segmentation Network M. Gamal Mennatullah Siam Moemen Abdel-Razek SSeg 70 60 0 10 Mar 2018
Learning Effective Binary Visual Representations with Deep Networks Jianxin Wu Jian-Hao Luo MQ 32 1 0 08 Mar 2018
Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning Huan Yang Baoyuan Wang Noranart Vesdapunt Minyi Guo S. B. Kang 62 22 0 06 Mar 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 80 115 0 06 Mar 2018
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks A. Bahou G. Karunaratne Renzo Andri Lukas Cavigelli Luca Benini MQ 63 45 0 05 Mar 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks Qianxiao Li Shuji Hao 103 76 0 04 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 133 883 0 03 Mar 2018
WRPN & Apprentice: Methods for Training and Inference using Low-Precision Numerics Asit K. Mishra Debbie Marr 29 6 0 01 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 74 182 0 28 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 110 713 0 26 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng Jiang Yiyu Shi 103 4 0 26 Feb 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 113 127 0 23 Feb 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 104 71 0 23 Feb 2018
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors Ying Shan Jian Jiao Jiehan Zhu J. C. Mao 68 11 0 18 Feb 2018
Efficient Sparse-Winograd Convolutional Neural Networks Xingyu Liu Jeff Pool Song Han W. Dally 67 122 0 18 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 93 44 0 17 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 128 739 0 15 Feb 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 118 555 0 14 Feb 2018
Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications Nezihe Merve Gürel Kaan Kara A. Stojanov T. Smith Thomas Lemmin Dan Alistarh Markus Püschel Ce Zhang 46 2 0 14 Feb 2018
Training and Inference with Integers in Deep Neural Networks Shuang Wu Guoqi Li F. Chen Luping Shi MQ 92 391 0 13 Feb 2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning Tianqi Chen T. Moreau Ziheng Jiang Lianmin Zheng Eddie Q. Yan ... Leyuan Wang Yuwei Hu Luis Ceze Carlos Guestrin Arvind Krishnamurthy 247 374 0 12 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi MQ 120 21 0 10 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 169 1,352 0 10 Feb 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing Qinghao Hu Peisong Wang Jian Cheng MQ 95 98 0 08 Feb 2018
Effective Quantization Approaches for Recurrent Neural Networks Md. Zahangir Alom A. Moody N. Maruyama B. Van Essen T. Taha MQ 75 36 0 07 Feb 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 157 88 0 07 Feb 2018
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices Ramyad Hadidi Jiashen Cao M. Woodward Michael S. Ryoo Hyesoon Kim 82 34 0 05 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks Jian Cheng Peisong Wang Gang Li Qinghao Hu Hanqing Lu 65 3 0 03 Feb 2018
Mixed Precision Training of Convolutional Neural Networks using Integer Operations Dipankar Das Naveen Mellempudi Dheevatsa Mudigere Dhiraj D. Kalamkar Sasikanth Avancha ... J. Corbal N. Shustrov R. Dubtsov Evarist Fomenko V. Pirogov MQ 102 153 0 03 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning Yixing Li Fengbo Ren MQ 43 12 0 03 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 84 52 0 02 Feb 2018
Adaptive Memory Networks Daniel Li Asim Kadav 73 5 0 01 Feb 2018
Alternating Multi-bit Quantization for Recurrent Neural Networks Chen Xu Jianqiang Yao Zhouchen Lin Wenwu Ou Yuanbin Cao Zhirong Wang H. Zha MQ 107 116 0 01 Feb 2018
From BoW to CNN: Two Decades of Texture Representation for Texture Classification Li Liu Jie Chen Paul Fieguth Guoying Zhao Rama Chellappa M. Pietikäinen 3DV 123 335 0 31 Jan 2018
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising Kai Zhen Aswin Sivaraman Jongmo Sung Minje Kim 58 7 0 29 Jan 2018
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions M. Heinrich Maximilian Blendowski Ozan Oktay MedIm 71 41 0 29 Jan 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks Jason Kuen Xiangfei Kong Zhe Lin G. Wang Jianxiong Yin Simon See Yap-Peng Tan BDL 81 25 0 29 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 110 177 0 23 Jan 2018
EffNet: An Efficient Structure for Convolutional Neural Networks Ido Freeman L. Roese-Koerner A. Kummert 131 101 0 19 Jan 2018
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 117 79 0 19 Jan 2018
In-network Neural Networks G. Siracusano R. Bifulco MoE 66 52 0 17 Jan 2018
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization Marcella Astrid Seung-Ik Lee Beom-Su Seo BDL 28 12 0 16 Jan 2018
Not All Ops Are Created Equal! Liangzhen Lai Naveen Suda Vikas Chandra 71 24 0 12 Jan 2018