XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 564 papers shown

Title
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments Bruno Ferrarini Michael Milford Klaus D. McDonald-Maier Shoaib Ehsan MQ 25 22 0 01 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 22 29 0 30 Sep 2020
Self-grouping Convolutional Neural Networks Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 25 22 0 29 Sep 2020
Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu Chang Xu Xinghao Chen Wei Zhang Chunjing Xu Yunhe Wang 33 47 0 28 Sep 2020
TernaryBERT: Distillation-aware Ultra-low Bit BERT Wei Zhang Lu Hou Yichun Yin Lifeng Shang Xiao Chen Xin Jiang Qun Liu MQ 25 208 0 27 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 23 63 0 17 Sep 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Weiwen Jiang Runbin Shi Xue Lin Yanzhi Wang MQ 19 7 0 16 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 29 69 0 02 Sep 2020
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks Jonathan Ashbrock A. Powell MQ 25 5 0 25 Aug 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak P. Tichavský Valeriy Glukhov Ivan V. Oseledets A. Cichocki BDL 19 128 0 12 Aug 2020
NASB: Neural Architecture Search for Binary Convolutional Neural Networks Baozhou Zhu Zaid Al-Ars P. Hofstee MQ 24 23 0 08 Aug 2020
Controlling Information Capacity of Binary Neural Network D. Ignatov Andrey D. Ignatov MQ 28 21 0 04 Aug 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Yujun Lin J. Cohn Chuang Gan Song Han 56 475 0 20 Jul 2020
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node Alfio Di Mauro Francesco Conti Pasquale Davide Schiavone D. Rossi Luca Benini 19 9 0 17 Jul 2020
AQD: Towards Accurate Fully-Quantized Object Detection Peng Chen Jing Liu Bohan Zhuang Mingkui Tan Chunhua Shen MQ 29 10 0 14 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 36 27 0 13 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang Bohyung Han AAML 31 138 0 08 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 46 81 0 02 Jul 2020
Single Shot Structured Pruning Before Training Joost R. van Amersfoort Milad Alizadeh Sebastian Farquhar Nicholas D. Lane Y. Gal 19 22 0 01 Jul 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy Tianzhe Wang Kuan-Chieh Jackson Wang Han Cai Ji Lin Zhijian Liu Song Han MQ 36 174 0 15 Jun 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 24 175 0 15 Jun 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 24 122 0 14 Jun 2020
Visual Transformers: Token-based Image Representation and Processing for Computer Vision Bichen Wu Chenfeng Xu Xiaoliang Dai Alvin Wan Peizhao Zhang Zhicheng Yan M. Tomizuka Joseph E. Gonzalez Kurt Keutzer Peter Vajda ViT 33 545 0 05 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks Alexander Shekhovtsov V. Yanush B. Flach MQ 31 10 0 04 Jun 2020
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 40 8 0 31 May 2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 10 99 0 24 May 2020
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs Yongkweon Jeon Baeseong Park S. Kwon Byeongwook Kim Jeongin Yun Dongsoo Lee MQ 25 30 0 20 May 2020
Cross-filter compression for CNN inference acceleration Fuyuan Lyu Shien Zhu Weichen Liu MQ 12 0 0 18 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers Junjie Liu Zhe Xu Runbin Shi R. Cheung Hayden Kwok-Hay So 9 119 0 14 May 2020
schuBERT: Optimizing Elements of BERT A. Khetan Zohar S. Karnin 23 30 0 09 May 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 16 119 0 08 May 2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes Qiang Yu Chenxiang Ma Shiming Song Gaoyan Zhang J. Dang Kay Chen Tan 17 49 0 05 May 2020
Spiking Neural Networks Hardware Implementations and Challenges: a Survey Maxence Bouvier A. Valentian T. Mesquida F. Rummens M. Reyboz Elisa Vianello E. Beigné 53 113 0 04 May 2020
Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application Vittorio Mazzia Francesco Salvetti Aleem Khaliq Marcello Chiaberge 22 152 0 28 Apr 2020
Automatic low-bit hybrid quantization of neural networks through meta learning Tao Wang Junsong Wang Chang Xu Chao Xue MQ 8 2 0 24 Apr 2020
Experience Grounds Language Yonatan Bisk Ari Holtzman Jesse Thomason Jacob Andreas Yoshua Bengio ... Angeliki Lazaridou Jonathan May Aleksandr Nisnevich Nicolas Pinto Joseph P. Turian 19 350 0 21 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays Xin Li Chengyin Li D. Zhu 19 79 0 06 Apr 2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks Hongwei Yong Jianqiang Huang Xiansheng Hua Lei Zhang ODL 13 184 0 03 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 54 2,595 0 01 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 457 0 31 Mar 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets D. Haase Manuel Amthor 20 132 0 30 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martínez Jing Yang Adrian Bulat Georgios Tzimiropoulos MQ 14 226 0 25 Mar 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal VLM 10 92 0 24 Mar 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network Yuhang Li Wei Wang Haoli Bai Ruihao Gong Xin Dong F. Yu MQ 13 20 0 17 Mar 2020
Resolution Adaptive Networks for Efficient Inference Le Yang Yizeng Han Xi Chen Shiji Song Jifeng Dai Gao Huang 16 215 0 16 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks Axel Laborieux M. Ernoult T. Hirtzlin D. Querlioz CLL 24 62 0 07 Mar 2020
Distilling portable Generative Adversarial Networks for Image Translation Hanting Chen Yunhe Wang Han Shu Changyuan Wen Chunjing Xu Boxin Shi Chao Xu Chang Xu 78 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