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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
Transfer Learning with Sparse Associative Memories Quentin Jodelet Vincent Gripon M. Hagiwara CLL 42 0 0 04 Apr 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 114 1 0 03 Apr 2019
Hardware-friendly Neural Network Architecture for Neuromorphic Computing Roshan Gopalakrishnan Yansong Chua A. Kumar 40 3 0 03 Apr 2019
Improving Noise Tolerance of Mixed-Signal Neural Networks M. Klachko M. Mahmoodi D. Strukov 47 29 0 02 Apr 2019
Data-Free Learning of Student Networks Hanting Chen Yunhe Wang Chang Xu Zhaohui Yang Chuanjian Liu Boxin Shi Chunjing Xu Chao Xu Qi Tian FedML 87 375 0 02 Apr 2019
LUTNet: Rethinking Inference in FPGA Soft Logic Erwei Wang James J. Davis P. Cheung George A. Constantinides 52 68 0 01 Apr 2019
Learning Content-Weighted Deep Image Compression Mu Li W. Zuo Shuhang Gu J. You David C. Zhang 77 74 0 01 Apr 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks Xijun Wang Meina Kan Shiguang Shan Xilin Chen 91 71 0 31 Mar 2019
Training Quantized Neural Networks with a Full-precision Auxiliary Module Bohan Zhuang Lingqiao Liu Mingkui Tan Chunhua Shen Ian Reid MQ 102 63 0 27 Mar 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 143 570 0 25 Mar 2019
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning Chaohui Yu Jindong Wang Yiqiang Chen Zijing Wu 66 24 0 25 Mar 2019
MUSCO: Multi-Stage Compression of neural networks Julia Gusak Maksym Kholiavchenko E. Ponomarev L. Markeeva Ivan Oseledets A. Cichocki 83 9 0 24 Mar 2019
BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function Hyungjun Kim Yulhwa Kim Sungju Ryu Jae-Joon Kim MQ 45 0 0 23 Mar 2019
What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing Keng-Chi Liu Yi-Ting Shen Jan P. Klopp Liang-Gee Chen 42 6 0 23 Mar 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM Shaokai Ye Xiaoyu Feng Tianyun Zhang Xiaolong Ma Sheng Lin ... Jian Tang M. Fardad Xinyu Lin Yongpan Liu Yanzhi Wang MQ 93 38 0 23 Mar 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 80 514 0 22 Mar 2019
Deep Learning on Mobile Devices - A Review Yunbin Deng 68 124 0 21 Mar 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks Sambhav R. Jain Albert Gural Michael Wu Chris Dick MQ 128 153 0 19 Mar 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin J. Lyu Shuai Zhang Stanley Osher Y. Qi Jack Xin MQ LLMSV 184 321 0 13 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification Weijie Chen Di Xie Yuan Zhang Shiliang Pu 70 81 0 13 Mar 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri 95 98 0 11 Mar 2019
Real-Time Boiler Control Optimization with Machine Learning Yukun Ding Yiyu Shi AI4CE 58 1 0 07 Mar 2019
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications Dibakar Gope Ganesh S. Dasika Matthew Mattina 64 23 0 04 Mar 2019
TKD: Temporal Knowledge Distillation for Active Perception Mohammad Farhadi Yezhou Yang 54 25 0 04 Mar 2019
COMIC: Towards A Compact Image Captioning Model with Attention J. Tan Chee Seng Chan Joon Huang Chuah VLM 108 40 0 04 Mar 2019
Learning low-precision neural networks without Straight-Through Estimator(STE) Z. G. Liu Matthew Mattina MQ 98 35 0 04 Mar 2019
Modulated binary cliquenet Jinpeng Xia Jiasong Wu Youyong Kong Pinzheng Zhang L. Senhadji H. Shu MQ 44 1 0 27 Feb 2019
Cluster Regularized Quantization for Deep Networks Compression Yiming Hu Jianquan Li Xianlei Long Shenhua Hu Jiagang Zhu Xingang Wang Qingyi Gu MQ 59 6 0 27 Feb 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 117 827 0 21 Feb 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference M. Riazi Mohammad Samragh Hao Chen Kim Laine Kristin E. Lauter F. Koushanfar FedML GNN BDL 126 282 0 19 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 126 369 0 18 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 122 99 0 15 Feb 2019
Fast-SCNN: Fast Semantic Segmentation Network Rudra P. K. Poudel Stephan Liwicki R. Cipolla SSeg 67 520 0 12 Feb 2019
Manifestation of Image Contrast in Deep Networks A. Akbarinia K. Gegenfurtner 38 4 0 12 Feb 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing G. Srinivasan Kaushik Roy 82 61 0 11 Feb 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui Haotao Wang Chen Yu Haichuan Yang Zhangyang Wang Ji Liu MQ 88 140 0 10 Feb 2019
Architecture Compression A. Ashok 35 0 0 08 Feb 2019
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks Priyadarshini Panda I. Chakraborty Kaushik Roy AAML 74 40 0 08 Feb 2019
Binarized Knowledge Graph Embeddings Koki Kishimoto Katsuhiko Hayashi Genki Akai Masashi Shimbo Kazunori Komatani MQ 45 11 0 08 Feb 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access Arthur Stoutchinin Francesco Conti Luca Benini 68 44 0 04 Feb 2019
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression Jie Zhang Xiaolong Wang Dawei Li Shalini Ghosh Abhishek Kolagunda Yalin Wang 49 0 0 03 Feb 2019
Self-Binarizing Networks Fayez Lahoud R. Achanta Pablo Márquez-Neila Sabine Süsstrunk MQ 80 23 0 02 Feb 2019
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge I. Chakraborty Deboleena Roy Aayush Ankit Kaushik Roy GNN MQ 56 14 0 01 Feb 2019
Convolutional Neural Networks with Layer Reuse Okan Kopuklu M. Babaee S. Hörmann Gerhard Rigoll 57 17 0 28 Jan 2019
Information-Theoretic Understanding of Population Risk Improvement with Model Compression Yuheng Bu Weihao Gao Shaofeng Zou Venugopal V. Veeravalli MedIm 61 17 0 27 Jan 2019
QGAN: Quantized Generative Adversarial Networks Peiqi Wang Dongsheng Wang Yu Ji Xinfeng Xie Haoxuan Song XuXin Liu Yongqiang Lyu Yuan Xie GAN MQ 53 34 0 24 Jan 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 118 69 0 23 Jan 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going Erwei Wang James J. Davis Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk P. Cheung George A. Constantinides 107 59 0 21 Jan 2019
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks Mouloud Belbahri Eyyub Sari Sajad Darabi V. Nia MQ 56 1 0 18 Jan 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs Mohammad Samragh Mojan Javaheripi F. Koushanfar 67 11 0 17 Jan 2019