XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 855 papers shown

Title
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 24 13 0 02 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 43 393 0 01 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 36 56 0 01 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning Wei Niu Xiaolong Ma Sheng Lin Shihao Wang Xuehai Qian Xinyu Lin Yanzhi Wang Bin Ren MQ 40 227 0 01 Jan 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? Hanting Chen Yunhe Wang Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 29 194 0 31 Dec 2019
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection Tianshu Chu Qin Luo Jie Yang Xiaolin Huang MQ 24 6 0 29 Dec 2019
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu Ruihao Gong F. Yu Xianglong Liu Yanfei Wang Zhelong Li Xiuqi Yang Junjie Yan MQ 45 151 0 29 Dec 2019
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression Zelin Xu Ke Chen Kui Jia 3DH 3DV 56 17 0 26 Dec 2019
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 42 42 0 21 Dec 2019
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference Bram-Ernst Verhoef Nathan Laubeuf S. Cosemans P. Debacker Ioannis A. Papistas A. Mallik D. Verkest MQ 24 16 0 19 Dec 2019
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 61 53 0 18 Dec 2019
Design of optical neural networks with component imprecisions Michael Y.-S. Fang S. Manipatruni Casimir Wierzynski A. Khosrowshahi M. DeWeese 35 129 0 13 Dec 2019
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices Delia Velasco-Montero Jorge Fernández-Berni R. Carmona-Galán Á. Rodríguez-Vázquez 30 21 0 13 Dec 2019
PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones Gang Chen Shengyu He Haitao Meng Kai-Qi Huang MQ 14 17 0 05 Dec 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 61 64 0 28 Nov 2019
DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling Sachin Mehta Rik Koncel-Kedziorski Mohammad Rastegari Hannaneh Hajishirzi AI4TS 43 23 0 27 Nov 2019
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory Julien Herrmann Olivier Beaumont Lionel Eyraud-Dubois J. Herrmann Alexis Joly Alena Shilova BDL 36 29 0 27 Nov 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 37 2,618 0 27 Nov 2019
Quantization Networks Jiwei Yang Xu Shen Jun Xing Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua MQ 36 339 0 21 Nov 2019
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs Luca Mocerino A. Calimera MQ 16 9 0 19 Nov 2019
Distributed Low Precision Training Without Mixed Precision Zehua Cheng Weiyan Wang Yan Pan Thomas Lukasiewicz MQ 18 5 0 18 Nov 2019
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search Zhihang Yuan Bingzhe Wu Zheng Liang Shiwan Zhao Weichen Bi Guangyu Sun 34 30 0 16 Nov 2019
BSP-Net: Generating Compact Meshes via Binary Space Partitioning Zhiqin Chen Andrea Tagliasacchi Hao Zhang 42 309 0 16 Nov 2019
TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA A. Jahanshahi 29 10 0 15 Nov 2019
An Efficient Hardware-Oriented Dropout Algorithm Y. J. Yeoh Takashi Morie H. Tamukoh 13 2 0 14 Nov 2019
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation Junjie Liu Dongchao Wen Hongxing Gao Wei Tao Tse-Wei Chen Kinya Osa Masami Kato 34 21 0 13 Nov 2019
Iteratively Training Look-Up Tables for Network Quantization Fabien Cardinaux Stefan Uhlich K. Yoshiyama Javier Alonso García Lukas Mauch Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 50 16 0 12 Nov 2019
A Computing Kernel for Network Binarization on PyTorch Xianda Xu M. Pedersoli MQ 26 3 0 11 Nov 2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks Zhen Dong Z. Yao Yaohui Cai Daiyaan Arfeen A. Gholami Michael W. Mahoney Kurt Keutzer MQ 50 277 0 10 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 41 141 0 02 Nov 2019
Secure Evaluation of Quantized Neural Networks Anders Dalskov Daniel E. Escudero Marcel Keller 38 138 0 28 Oct 2019
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network Bin Sun Ming Shao Siyu Xia Y. Fu 3DH CVBM 22 2 0 25 Oct 2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference Erwei Wang James J. Davis P. Cheung George A. Constantinides MQ 14 42 0 24 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 61 11 0 21 Oct 2019
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding Jan P. Klopp Liang-Gee Chen Shao-Yi Chien 31 11 0 19 Oct 2019
Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan Kartik Gupta Philip Torr Leonid Sigal P. Dokania MQ 22 24 0 18 Oct 2019
Fully Quantized Transformer for Machine Translation Gabriele Prato Ella Charlaix Mehdi Rezagholizadeh MQ 13 69 0 17 Oct 2019
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware Daniel Barry Munir Shah M. Keijsers Humayun Khan Banon Hopman ObjD 16 18 0 08 Oct 2019
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 38 43 0 07 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs Souvik Kundu Saurav Prakash H. Akrami Peter A. Beerel K. Chugg 51 12 0 02 Oct 2019
XNOR-Net++: Improved Binary Neural Networks Adrian Bulat Georgios Tzimiropoulos MQ 44 200 0 30 Sep 2019
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs Caiwen Ding Shuo Wang Ning Liu Kaidi Xu Yanzhi Wang Yun Liang MQ 24 89 0 29 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 35 18 0 27 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 143 325 0 24 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 43 18 0 22 Sep 2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems Xiaofan Zhang Haoming Lu Cong Hao Jiachen Li Bowen Cheng ... Jinjun Xiong Thomas Huang Humphrey Shi Wen-mei W. Hwu Deming Chen 45 92 0 20 Sep 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks Zhonghui You Kun Yan Jinmian Ye Meng Ma Ping Wang 3DPC 24 246 0 18 Sep 2019
A Data-Center FPGA Acceleration Platform for Convolutional Neural Networks Xiaoyu Yu Yuwei Wang Jie Miao Ephrem Wu Heng Zhang Yu Meng Bo Zhang Biao Min Dewei Chen Jianlin Gao 35 21 0 17 Sep 2019
High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS Shihui Yin Xiaoyu Sun Shimeng Yu Jae-sun Seo MQ 12 105 0 16 Sep 2019