XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 850 papers shown

Title
Unrolling Ternary Neural Networks Stephen Tridgell M. Kumm M. Hardieck David Boland Duncan J. M. Moss P. Zipf Philip H. W. Leong 32 27 0 09 Sep 2019
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor Hyunbin Park Dohyun Kim Shiho Kim BDL 24 1 0 08 Sep 2019
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA Mohammad Farhadi Mehdi Ghasemi Yezhou Yang 22 27 0 05 Sep 2019
Knowledge distillation for optimization of quantized deep neural networks Sungho Shin Yoonho Boo Wonyong Sung MQ 32 6 0 04 Sep 2019
Knowledge Distillation for End-to-End Person Search Bharti Munjal Fabio Galasso S. Amin FedML 53 15 0 03 Sep 2019
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block Guoqing Li Meng Zhang Qianru Zhang Ziyang Chen Wenzhao Liu Jiaojie Li Xuzhao Shen Jian Li Zhenyu Zhu Chau Yuen 46 5 0 03 Sep 2019
HarDNet: A Low Memory Traffic Network P. Chao Chao-Yang Kao Yunxing Ruan Chien-Hsiang Huang Y. Lin 198 269 0 03 Sep 2019
Image Captioning with Sparse Recurrent Neural Network J. Tan Chee Seng Chan Joon Huang Chuah VLM 34 6 0 28 Aug 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 17 97 0 23 Aug 2019
Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation Sunwoo Kim Mrinmoy Maity Minje Kim MQ 19 14 0 23 Aug 2019
Detecting Gas Vapor Leaks Using Uncalibrated Sensors Diaa Badawi Tuba Ayhan S. Ozev Chengmo Yang A. Orailoglu A. Enis Çetin 6 8 0 20 Aug 2019
Bayesian Optimized 1-Bit CNNs Jiaxin Gu Junhe Zhao Xiaolong Jiang Baochang Zhang Jianzhuang Liu G. Guo Rongrong Ji BDL MQ 17 56 0 17 Aug 2019
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks Zhaoyang Zhang Jingyu Li Wenqi Shao Zhanglin Peng Ruimao Zhang Xiaogang Wang Ping Luo 40 37 0 16 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 37 448 0 14 Aug 2019
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction T. Hirtzlin Bogdan Penkovsky Jacques-Olivier Klein N. Locatelli A. Vincent M. Bocquet J. Portal D. Querlioz 27 16 0 12 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Xiaohan Ding Yuchen Guo Guiguang Ding Jiawei Han 33 663 0 11 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 34 45 0 10 Aug 2019
GDRQ: Group-based Distribution Reshaping for Quantization Haibao Yu Tuopu Wen Guangliang Cheng Jiankai Sun Qi Han Jianping Shi MQ 33 3 0 05 Aug 2019
Distributed Deep Convolutional Neural Networks for the Internet-of-Things Simone Disabato M. Roveri Cesare Alippi 29 47 0 02 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification Hai T. Phan Dang T. Huynh Yihui He Marios Savvides Zhiqiang Shen MQ 41 49 0 29 Jul 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 58 94 0 27 Jul 2019
Co-Evolutionary Compression for Unpaired Image Translation Han Shu Yunhe Wang Xu Jia Kai Han Hanting Chen Chunjing Xu Qi Tian Chang Xu 14 87 0 25 Jul 2019
Distilled Siamese Networks for Visual Tracking Jianbing Shen Yuanpei Liu Xingping Dong Xiankai Lu Fahad Shahbaz Khan Guosheng Lin 28 101 0 24 Jul 2019
Recurrent Neural Networks: An Embedded Computing Perspective Nesma M. Rezk M. Purnaprajna Tomas Nordstrom Z. Ul-Abdin 63 81 0 23 Jul 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 69 961 0 23 Jul 2019
Green AI Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni 43 1,119 0 22 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 43 982 0 19 Jul 2019
How much real data do we actually need: Analyzing object detection performance using synthetic and real data F. Nowruzi Prince Kapoor Dhanvin Kolhatkar Fahed Al Hassanat R. Laganière Julien Rebut 36 77 0 16 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 42 11 0 13 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 42 149 0 12 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 42 0 0 09 Jul 2019
QUOTIENT: Two-Party Secure Neural Network Training and Prediction Nitin Agrawal Ali Shahin Shamsabadi Matt J. Kusner Adria Gascon 35 213 0 08 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu Xiaolong Ma Zhiyuan Xu Yanzhi Wang Jian Tang Jieping Ye 43 185 0 06 Jul 2019
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network Md. Mostafa Kamal Sarker Hatem A. Rashwan Farhan Akram V. Singh Syeda Furruka Banu ... Kabir Ahmed Choudhury Sylvie Chambon Petia Radeva D. Puig M. Abdel-Nasser GAN MedIm 44 27 0 01 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 24 14 0 01 Jul 2019
Quantitative Verification of Neural Networks And its Security Applications Teodora Baluta Shiqi Shen Shweta Shinde Kuldeep S. Meel P. Saxena AAML 29 105 0 25 Jun 2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression Mu Li Kede Ma J. You David C. Zhang W. Zuo 30 67 0 24 Jun 2019
Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks Stephen J. Tarsa Chit-Kwan Lin Gokce Keskin G. Chinya Hong Wang 21 26 0 20 Jun 2019
GAN-Knowledge Distillation for one-stage Object Detection Wanwei Wang Jin ke Yu Fan Zong ObjD 22 29 0 20 Jun 2019
Back to Simplicity: How to Train Accurate BNNs from Scratch? Joseph Bethge Haojin Yang Marvin Bornstein Christoph Meinel AAML MQ 33 58 0 19 Jun 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection Zhuo Chen Jiyuan Zhang Ruizhou Ding Diana Marculescu 13 12 0 19 Jun 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 31 8 0 14 Jun 2019
Visual Wake Words Dataset Aakanksha Chowdhery Pete Warden Jonathon Shlens Andrew G. Howard Rocky Rhodes VLM 18 99 0 12 Jun 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 24 502 0 11 Jun 2019
BasisConv: A method for compressed representation and learning in CNNs M. Tayyab Abhijit Mahalanobis 3DPC SSL 24 6 0 11 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 13 378 0 09 Jun 2019
DiCENet: Dimension-wise Convolutions for Efficient Networks Sachin Mehta Hannaneh Hajishirzi Mohammad Rastegari 41 43 0 08 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design Keivan Alizadeh-Vahid Anish K. Prabhu Ali Farhadi Mohammad Rastegari 37 50 0 05 Jun 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization K. Helwegen James Widdicombe Lukas Geiger Zechun Liu K. Cheng Roeland Nusselder MQ 32 110 0 05 Jun 2019
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence I. Chakraborty Deboleena Roy Isha Garg Aayush Ankit Kaushik Roy 27 37 0 04 Jun 2019