v1v2v3v4 (latest)

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 1,765 papers shown

Title
CondenseNet: An Efficient DenseNet using Learned Group Convolutions Gao Huang Shichen Liu Laurens van der Maaten Kilian Q. Weinberger 215 836 0 25 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 87 87 0 23 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Christian Schroeder de Witt G. Varma A. Namboodiri GNN 180 75 0 23 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 212 489 0 22 Nov 2017
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions Bichen Wu Alvin Wan Xiangyu Yue Peter H. Jin Sicheng Zhao Noah Golmant A. Gholaminejad Joseph E. Gonzalez Kurt Keutzer 3DPC 206 378 0 22 Nov 2017
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? Manuele Rusci Lukas Cavigelli Luca Benini MQ 105 21 0 21 Nov 2017
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis M. Shafiee Francis Li Brendan Chwyl A. Wong 133 27 0 20 Nov 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 177 290 0 16 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 165 845 0 16 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy Asit K. Mishra Debbie Marr FedML 127 342 0 15 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 304 1,427 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 115 10 0 13 Nov 2017
Quantized Memory-Augmented Neural Networks Seongsik Park Seijoon Kim Seil Lee Ho Bae Sungroh Yoon MQ 80 16 0 10 Nov 2017
Block-Sparse Recurrent Neural Networks Sharan Narang Eric Undersander G. Diamos 126 142 0 08 Nov 2017
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks Urs Koster T. Webb Xin Eric Wang Marcel Nassar Arjun K. Bansal ... Luke Hornof A. Khosrowshahi Carey Kloss Ruby J. Pai N. Rao MQ 106 270 0 06 Nov 2017
Neural Speed Reading via Skim-RNN Minjoon Seo Sewon Min Ali Farhadi Hannaneh Hajishirzi 199 80 0 06 Nov 2017
ReBNet: Residual Binarized Neural Network M. Ghasemzadeh Mohammad Samragh F. Koushanfar MQ 92 4 0 03 Nov 2017
Attacking Binarized Neural Networks A. Galloway Graham W. Taylor M. Moussa MQ AAML 143 108 0 01 Nov 2017
Efficient Inferencing of Compressed Deep Neural Networks Dharma Teja Vooturi Saurabh Goyal Anamitra R. Choudhury Yogish Sabharwal Ashish Verma 57 6 0 01 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Zhuliang Yu Lingqiao Liu Ian Reid MQ 207 249 0 01 Nov 2017
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem A. Friesen Pedro M. Domingos 98 20 0 31 Oct 2017
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming NetworkNeural Information Processing Systems (NeurIPS), 2017 Lixin Fan 82 27 0 27 Oct 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 493 1,163 0 23 Oct 2017
BENCHIP: Benchmarking Intelligence ProcessorsJournal of Computational Science and Technology (JCST), 2017 Jinhua Tao Zidong Du Qi Guo Huiying Lan Lei Zhang ... Allen Rush Willian Chen Shaoli Liu Yunji Chen Tianshi Chen 94 39 0 23 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick Oran Shayer Dan Levi Ethan Fetaya 142 89 0 21 Oct 2017
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 182 290 0 19 Oct 2017
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization D. Loroch Norbert Wehn Franz-Josef Pfreundt J. Keuper MQ 85 23 0 13 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 352 2,046 0 10 Oct 2017
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures F. Iandola Kurt Keutzer 116 37 0 07 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 298 1,382 0 05 Oct 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 113 547 0 22 Sep 2017
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration Huan Wang Qiming Zhang Yuehai Wang Roland Hu 138 11 0 20 Sep 2017
Embedding Deep Networks into Visual Explanations Chen Ma Saeed Khorram Fuxin Li 151 27 0 15 Sep 2017
Recursive Binary Neural Network Learning Model with 2.28b/Weight Storage Requirement Tianchan Guan Xiaoyang Zeng Mingoo Seok MQ 90 6 0 15 Sep 2017
Binary-decomposed DCNN for accelerating computation and compressing model without retraining Ryuji Kamiya Takayoshi Yamashita Mitsuru Ambai Ikuro Sato Yuji Yamauchi H. Fujiyoshi MQ 43 5 0 14 Sep 2017
Flexible Network Binarization with Layer-wise Priority He Wang Yi Tian Xu Bingbing Ni Hongteng Xu MQ 111 11 0 13 Sep 2017
Streamlined Deployment for Quantized Neural Networks Yaman Umuroglu Magnus Jahre MQ 125 40 0 12 Sep 2017
Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification Chong-Jun Wang Xipeng Lan Yang Zhang CVBM 141 26 0 09 Sep 2017
Embedded Binarized Neural Networks Bradley McDanel Surat Teerapittayanon H. T. Kung MQ 100 89 0 06 Sep 2017
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices Surat Teerapittayanon Bradley McDanel H. T. Kung FedML 139 745 0 06 Sep 2017
WRPN: Wide Reduced-Precision Networks Asit K. Mishra Eriko Nurvitadhi Jeffrey J. Cook Debbie Marr MQ 166 269 0 04 Sep 2017
Domain-adaptive deep network compression Marc Masana Joost van de Weijer Luis Herranz Andrew D. Bagdanov J. Álvarez 147 62 0 04 Sep 2017
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks Zheng Xu Yen-Chang Hsu Jiawei Huang GAN 182 12 0 02 Sep 2017
Performance Guaranteed Network Acceleration via High-Order Residual Quantization Zefan Li Bingbing Ni Wenjun Zhang Xiaokang Yang Wen Gao MQ 148 109 0 29 Aug 2017
Deep Learning Sparse Ternary Projections for Compressed Sensing of Images Duc Minh Nguyen Evaggelia Tsiligianni Nikos Deligiannis 54 28 0 28 Aug 2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection Zizhao Zhang Fuyong Xing H. Su Xiaoshuang Shi Ling Yang AAML 71 14 0 24 Aug 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 356 2,586 0 22 Aug 2017
Deep Neural Network Capacity Aosen Wang Huan Zhou Wenyao Xu Xin Chen 36 4 0 16 Aug 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 184 10 0 16 Aug 2017
Prune the Convolutional Neural Networks with Sparse Shrink Xuzhao Li Changsong Liu CVBM 41 4 0 08 Aug 2017