XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 544 papers shown

Title
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method Varun Mannam 11 0 0 06 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 29 71 0 06 Sep 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 30 17 0 29 Aug 2022
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables Adrien Benamira Tristan Guérand Thomas Peyrin Trevor Yap Bryan Hooi 32 1 0 18 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhaopeng Tu Xinghao Chen Pengju Ren Yunhe Wang MQ 36 54 0 17 Aug 2022
PECAN: A Product-Quantized Content Addressable Memory Network Jie Ran R. Lin Jason Chun Lok Li Jiajun Zhou Ngai Wong MQ 46 7 0 13 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 18 11 0 11 Aug 2022
Differentiable Inference of Temporal Logic Formulas Nicole Fronda Houssam Abbas 8 5 0 10 Aug 2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks Muhammad Abdullah Hanif G. M. Sarda Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique MQ 8 4 0 31 Jul 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 16 19 0 13 Jul 2022
Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets Lu Zeng S. Parthasarathi Yuzong Liu Alex Escott S. Cheekatmalla N. Strom S. Vitaladevuni MQ 31 5 0 13 Jul 2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation Geondo Park Jaehong Yoon H. Zhang Xingge Zhang S. Hwang Yonina C. Eldar MQ 28 1 0 04 Jul 2022
DRESS: Dynamic REal-time Sparse Subnets Zhongnan Qu Syed Shakib Sarwar Xin Dong Yuecheng Li Huseyin Ekin Sumbul B. D. Salvo 3DH 16 1 0 01 Jul 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 19 7 0 17 Jun 2022
Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks Kaiqi Zhang Ming Yin Yu-Xiang Wang MQ 16 4 0 13 Jun 2022
Combinatorial optimization for low bit-width neural networks Hanxu Zhou Aida Ashrafi Matthew B. Blaschko MQ 21 0 0 04 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks Y. Fu Haichuan Yang Jiayi Yuan Meng Li Cheng Wan Raghuraman Krishnamoorthi Vikas Chandra Yingyan Lin 28 18 0 02 Jun 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating E. Passov E. David N. Netanyahu AAML 37 0 0 30 May 2022
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors Francesco Daghero Chenhao Xie Daniele Jahier Pagliari Alessio Burrello Marco Castellano Luca Gandolfi A. Calimera Enrico Macii M. Poncino BDL MQ 19 13 0 25 May 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu Xi Peng Hongyuan Zhu M. Aly Jie Lin MQ 39 59 0 23 May 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks Kinshuk Dua FedML MQ 21 0 0 19 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning Jing Yang Xiatian Zhu Adrian Bulat Brais Martínez Georgios Tzimiropoulos 29 7 0 13 May 2022
Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer S. H. Shabbeer Basha Debapriya Tula Sravan Kumar Vinakota S. Dubey 24 2 0 12 May 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks Dario Rossi Liang Zhang 28 13 0 26 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 28 11 0 06 Apr 2022
Bimodal Distributed Binarized Neural Networks T. Rozen Moshe Kimhi Brian Chmiel A. Mendelson Chaim Baskin MQ 36 4 0 05 Apr 2022
Fault-Tolerant Deep Learning: A Hierarchical Perspective Cheng Liu Zhen Gao Siting Liu Xuefei Ning Huawei Li Xiaowei Li 38 9 0 05 Apr 2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support Seock-Hwan Noh Jahyun Koo Seunghyun Lee Jongse Park Jaeha Kung AI4CE 29 17 0 13 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 22 17 0 09 Mar 2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization Menelaos Kanakis S. Maurer Matteo Spallanzani Ajad Chhatkuli Luc Van Gool 3DPC 26 13 0 07 Mar 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 19 19 0 23 Feb 2022
Distilled Neural Networks for Efficient Learning to Rank F. M. Nardini Cosimo Rulli Salvatore Trani Rossano Venturini FedML 24 16 0 22 Feb 2022
Bit-wise Training of Neural Network Weights Cristian Ivan MQ 16 0 0 19 Feb 2022
Lightweight Jet Reconstruction and Identification as an Object Detection Task Adrian Alan Pol T. Aarrestad E. Govorkova Roi Halily Anat Klempner ... Vladimir Loncar J. Ngadiuba M. Pierini Olya Sirkin S. Summers 24 2 0 09 Feb 2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision Guhong Nie Lirui Xiao Menglong Zhu Dongliang Chu Yue-Hong Shen Peng Li Kan Yang Li Du Bo Chen Dji Innovations Inc MQ 34 5 0 08 Feb 2022
Hardware-Efficient Deconvolution-Based GAN for Edge Computing A. Alhussain Mingjie Lin 38 5 0 18 Jan 2022
VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer Mengshu Sun Haoyu Ma Guoliang Kang Yifan Jiang Tianlong Chen Xiaolong Ma Zhangyang Wang Yanzhi Wang ViT 25 45 0 17 Jan 2022
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks G. Cerutti Lukas Cavigelli Renzo Andri Michele Magno Elisabetta Farella Luca Benini 26 14 0 10 Jan 2022
GhostNets on Heterogeneous Devices via Cheap Operations Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chunjing Xu Enhua Wu Qi Tian 19 102 0 10 Jan 2022
Glance and Focus Networks for Dynamic Visual Recognition Gao Huang Yulin Wang Kangchen Lv Haojun Jiang Wenhui Huang Pengfei Qi S. Song 3DH 71 49 0 09 Jan 2022
Automatic Mixed-Precision Quantization Search of BERT Changsheng Zhao Ting Hua Yilin Shen Qian Lou Hongxia Jin MQ 17 19 0 30 Dec 2021
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch Souvik Kundu Shikai Wang Qirui Sun P. Beerel Massoud Pedram MQ 15 18 0 24 Dec 2021
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats Brian Chmiel Ron Banner Elad Hoffer Hilla Ben Yaacov Daniel Soudry MQ 25 22 0 19 Dec 2021
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 28 6 0 19 Dec 2021
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia VLM CVBM 21 8 0 15 Dec 2021
Neural Network Quantization for Efficient Inference: A Survey Olivia Weng MQ 17 22 0 08 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Tao Luo Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 13 1 0 01 Dec 2021
PokeBNN: A Binary Pursuit of Lightweight Accuracy Yichi Zhang Zhiru Zhang Lukasz Lew MQ 33 57 0 30 Nov 2021
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation Zechun Liu Kwang-Ting Cheng Dong Huang Eric P. Xing Zhiqiang Shen MQ 25 102 0 29 Nov 2021
Mixed Precision of Quantization of Transformer Language Models for Speech Recognition Junhao Xu Shoukang Hu Jianwei Yu Xunying Liu Helen M. Meng MQ 35 15 0 29 Nov 2021