XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 584 papers shown

Title
Distilling portable Generative Adversarial Networks for Image Translation Hanting Chen Yunhe Wang Han Shu Changyuan Wen Chunjing Xu Boxin Shi Chao Xu Chang Xu 80 83 0 07 Mar 2020
BATS: Binary ArchitecTure Search Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 22 67 0 03 Mar 2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression R. Lin Ching-Yun Ko Zhuolun He Cong Chen Yuan-Chia Cheng Hao Yu G. Chesi Ngai Wong 36 6 0 28 Feb 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 30 40 0 25 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 14 100 0 24 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020
Learning Architectures for Binary Networks Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 25 44 0 17 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 21 482 0 12 Feb 2020
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation Hossam N. Isack Christian Haene Cem Keskin Sofien Bouaziz Yuri Boykov Shahram Izadi S. Khamis 3DH 25 10 0 10 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 20 128 0 05 Feb 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild Rahul Duggal Scott Freitas Cao Xiao Duen Horng Chau Jimeng Sun 28 22 0 29 Jan 2020
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms G. Cerutti Rahul Prasad A. Brutti Elisabetta Farella 13 47 0 29 Jan 2020
Progressive Local Filter Pruning for Image Retrieval Acceleration Xiaodong Wang Zhedong Zheng Yang He Fei Yan Zhi-qiang Zeng Yi Yang 25 34 0 24 Jan 2020
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread Haofeng Li Guanbin Li Binbin Yang Guanqi Chen Liang Lin Yizhou Yu ObjD 38 28 0 22 Jan 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy? Joseph Bethge Christian Bartz Haojin Yang Ying Chen Christoph Meinel MQ 25 91 0 16 Jan 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 17 32 0 09 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 26 47 0 07 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 32 72 0 07 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 19 118 0 04 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 14 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 30 389 0 01 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 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 18 194 0 31 Dec 2019
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection Tianshu Chu Qin Luo Jie-jin Yang Xiaolin Huang MQ 16 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 27 150 0 29 Dec 2019
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression Zelin Xu Ke Chen K. Jia 3DH 3DV 38 17 0 26 Dec 2019
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 11 42 0 21 Dec 2019
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 30 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 33 128 0 13 Dec 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 16 63 0 28 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 21 29 0 27 Nov 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 20 2,575 0 27 Nov 2019
Quantization Networks Jiwei Yang Xu Shen Jun Xing Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua MQ 25 338 0 21 Nov 2019
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs Luca Mocerino A. Calimera MQ 8 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 25 30 0 16 Nov 2019
TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA A. Jahanshahi 18 10 0 15 Nov 2019
An Efficient Hardware-Oriented Dropout Algorithm Y. J. Yeoh Takashi Morie H. Tamukoh 13 2 0 14 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 27 16 0 12 Nov 2019
A Computing Kernel for Network Binarization on PyTorch Xianda Xu M. Pedersoli MQ 13 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 26 274 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 17 141 0 02 Nov 2019
Secure Evaluation of Quantized Neural Networks Anders Dalskov Daniel E. Escudero Marcel Keller 12 137 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 15 2 0 25 Oct 2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference Erwei Wang James J. Davis P. Cheung G. Constantinides MQ 9 41 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 40 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 23 11 0 19 Oct 2019
Fully Quantized Transformer for Machine Translation Gabriele Prato Ella Charlaix Mehdi Rezagholizadeh MQ 13 68 0 17 Oct 2019
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 25 43 0 07 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs Souvik Kundu Saurav Prakash H. Akrami P. Beerel K. Chugg 28 12 0 02 Oct 2019