Binarized Neural Networks

8 February 2016

Papers citing "Binarized Neural Networks"

50 / 288 papers shown

Title
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks Alexander Shekhovtsov V. Yanush B. Flach MQ 26 10 0 04 Jun 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 10 0 0 18 May 2020
Automatic low-bit hybrid quantization of neural networks through meta learning Tao Wang Junsong Wang Chang Xu Chao Xue MQ 6 2 0 24 Apr 2020
A Survey on Impact of Transient Faults on BNN Inference Accelerators N. Khoshavi Connor Broyles Yu Bi 11 8 0 10 Apr 2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks Hongwei Yong Jianqiang Huang Xiansheng Hua Lei Zhang ODL 11 184 0 03 Apr 2020
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array M. Ali Akhilesh R. Jaiswal Sangamesh Kodge Amogh Agrawal I. Chakraborty Kaushik Roy MQ 6 83 0 27 Mar 2020
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA M. Kroes L. Petrica S. Cotofana Michaela Blott 6 7 0 24 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks Axel Laborieux M. Ernoult T. Hirtzlin D. Querlioz CLL 14 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
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 23 6 0 28 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 14 100 0 24 Feb 2020
PoET-BiN: Power Efficient Tiny Binary Neurons S. Chidambaram P. Langlois J. David MQ 11 4 0 23 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 17 44 0 17 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 17 10 0 10 Feb 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 12 32 0 09 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 32 72 0 07 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 14 13 0 02 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
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 14 6 0 29 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 20 53 0 18 Dec 2019
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 11 29 0 10 Dec 2019
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition Jibin Wu Emre Yilmaz Malu Zhang Haizhou Li Kay Chen Tan 12 104 0 19 Nov 2019
TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA A. Jahanshahi 13 10 0 15 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 19 16 0 12 Nov 2019
A Computing Kernel for Network Binarization on PyTorch Xianda Xu M. Pedersoli MQ 8 3 0 11 Nov 2019
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks Chunfeng Cui Kaiqi Zhang Talgat Daulbaev Julia Gusak Ivan V. Oseledets Zheng-Wei Zhang AAML 24 25 0 29 Oct 2019
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network Bin Sun Ming Shao Siyu Xia Y. Fu 3DH CVBM 13 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
XNOR-Net++: Improved Binary Neural Networks Adrian Bulat Georgios Tzimiropoulos MQ 11 200 0 30 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 14 18 0 27 Sep 2019
Optimizing Speech Recognition For The Edge Yuan Shangguan Jian Li Qiao Liang R. Álvarez Ian McGraw 12 64 0 26 Sep 2019
Deep Learning-based Polar Code Design Moustafa Ebada Sebastian Cammerer Ahmed Elkelesh S. Brink 11 34 0 26 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 29 92 0 20 Sep 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 9 269 0 23 Aug 2019
Bayesian Optimized 1-Bit CNNs Jiaxin Gu Junhe Zhao Xiaolong Jiang Baochang Zhang Jianzhuang Liu G. Guo Rongrong Ji BDL MQ 12 56 0 17 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 19 445 0 14 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Xiaohan Ding Yuchen Guo Guiguang Ding J. Han 8 659 0 11 Aug 2019
GDRQ: Group-based Distribution Reshaping for Quantization Haibao Yu Tuopu Wen Guangliang Cheng Jiankai Sun Qi Han Jianping Shi MQ 11 3 0 05 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 30 378 0 31 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 33 92 0 27 Jul 2019
Distilled Siamese Networks for Visual Tracking Jianbing Shen Yuanpei Liu Xingping Dong Xiankai Lu F. Khan S. Hoi 11 101 0 24 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 19 0 0 09 Jul 2019
QUOTIENT: Two-Party Secure Neural Network Training and Prediction Nitin Agrawal Ali Shahin Shamsabadi Matt J. Kusner Adria Gascon 20 211 0 08 Jul 2019
Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks Stephen J. Tarsa Chit-Kwan Lin Gokce Keskin G. Chinya Hong Wang 13 26 0 20 Jun 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection Zhuo Chen Jiyuan Zhang Ruizhou Ding Diana Marculescu 11 12 0 19 Jun 2019
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining Vojtěch Mrázek Z. Vašíček Lukás Sekanina Muhammad Abdullah Hanif Muhammad Shafique 11 92 0 11 Jun 2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen ... Andrey Malevich Dheevatsa Mudigere M. Smelyanskiy Liang Xiong Xuan Zhang GNN 22 290 0 06 Jun 2019