XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 568 papers shown

Title
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 27 71 0 23 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 33 1,339 0 10 Feb 2018
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices Ramyad Hadidi Jiashen Cao M. Woodward Michael S. Ryoo Hyesoon Kim 14 34 0 05 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning Yixing Li Fengbo Ren MQ 14 12 0 03 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 24 51 0 02 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 39 332 0 31 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 26 176 0 23 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 22 78 0 19 Jan 2018
In-network Neural Networks G. Siracusano R. Bifulco MoE 19 50 0 17 Jan 2018
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car Michael Bechtel Elise McEllhiney Minje Kim H. Yun 22 103 0 19 Dec 2017
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 48 3,043 0 15 Dec 2017
Automated Pruning for Deep Neural Network Compression Franco Manessi A. Rozza Simone Bianco Paolo Napoletano Raimondo Schettini 34 56 0 05 Dec 2017
An Introduction to Deep Visual Explanation H. Babiker Randy Goebel FAtt AAML 32 19 0 26 Nov 2017
Deep Learning for Real-Time Crime Forecasting and its Ternarization Bao Wang Penghang Yin Andrea L. Bertozzi P. Brantingham Stanley J. Osher Jack Xin AI4TS 38 82 0 23 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 70 0 23 Nov 2017
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? Manuele Rusci Lukas Cavigelli Luca Benini MQ 21 20 0 21 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han M. Gao Ching-Yung Lin L. Davis 30 795 0 16 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 15 1,269 0 15 Nov 2017
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation Moritz B. Milde Daniel Neil Alessandro Aimar T. Delbruck Giacomo Indiveri MQ 27 9 0 13 Nov 2017
Attacking Binarized Neural Networks A. Galloway Graham W. Taylor M. Moussa MQ AAML 14 104 0 01 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 31 231 0 01 Nov 2017
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem A. Friesen Pedro M. Domingos 18 20 0 31 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick Oran Shayer Dan Levi Ethan Fetaya 13 88 0 21 Oct 2017
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 17 270 0 19 Oct 2017
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 66 1,762 0 10 Oct 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 16 503 0 22 Sep 2017
Flexible Network Binarization with Layer-wise Priority He Wang Yi Tian Xu Bingbing Ni Hongteng Xu MQ 23 10 0 13 Sep 2017
Domain-adaptive deep network compression Marc Masana Joost van de Weijer Luis Herranz Andrew D. Bagdanov J. Álvarez 36 62 0 04 Sep 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 30 10 0 16 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 28 35 0 31 Jul 2017
Scalable Full Flow with Learned Binary Descriptors Gottfried Munda Alexander Shekhovtsov Patrick Knöbelreiter T. Pock 12 4 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian-jun Sun 39 2,503 0 19 Jul 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer Yuntao Chen Naiyan Wang Zhaoxiang Zhang FedML 47 217 0 05 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 53 558 0 05 Jul 2017
SEP-Nets: Small and Effective Pattern Networks Zhe Li Xiaoyu Wang Xutao Lv Tianbao Yang 22 12 0 13 Jun 2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks Denis A. Gudovskiy Luca Rigazio MQ 19 52 0 07 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 29 95 0 07 Jun 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 13 1,776 0 30 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 20 479 0 24 May 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 17 51 0 14 Apr 2017
Towards thinner convolutional neural networks through Gradually Global Pruning Z. Wang Ce Zhu Zhiqiang Xia Qi Guo Yipeng Liu CVBM 14 4 0 29 Mar 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang Danlu Chen Tianhong Li Felix Wu L. V. D. van der Maaten Kilian Q. Weinberger VLM 22 137 0 29 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 18 288 0 25 Mar 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision Amr Suleiman Yu-hsin Chen J. Emer Vivienne Sze 24 56 0 17 Mar 2017
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations Liangzhen Lai Naveen Suda Vikas Chandra MQ 28 85 0 08 Mar 2017
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources Adrian Bulat Georgios Tzimiropoulos CVBM 3DV 24 190 0 02 Mar 2017
ShaResNet: reducing residual network parameter number by sharing weights Alexandre Boulch 24 26 0 28 Feb 2017
RNN Decoding of Linear Block Codes Eliya Nachmani Elad Marciano D. Burshtein Yair Be’ery AI4CE 72 87 0 24 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 319 1,049 0 10 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 31 502 0 03 Feb 2017