XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

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Title
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors Francesco Daghero Chenhao Xie Daniele Jahier Pagliari Luca Bompani Marco Castellano Luca Gandolfi A. Calimera Enrico Macii Massimo Poncino BDL MQ 37 13 0 25 May 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu Xi Peng Erik Cambria M. Aly Jie Lin MQ 57 59 0 23 May 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks Kinshuk Dua FedML MQ 29 0 0 19 May 2022
Fast matrix multiplication for binary and ternary CNNs on ARM CPU A. Trusov E. Limonova D. Nikolaev V. Arlazarov MQ 27 5 0 18 May 2022
Binarizing by Classification: Is soft function really necessary? Yefei He Luoming Zhang Weijia Wu Hong Zhou MQ 28 3 0 16 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning Jing Yang Xiatian Zhu Adrian Bulat Brais Martínez Georgios Tzimiropoulos 40 8 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 31 3 0 12 May 2022
Edge-PRUNE: Flexible Distributed Deep Learning Inference Jani Boutellier Bo Tan J. Nurmi 26 2 0 27 Apr 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks Dario Rossi Liang Zhang 36 13 0 26 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 40 11 0 06 Apr 2022
Bimodal Distributed Binarized Neural Networks T. Rozen Moshe Kimhi Brian Chmiel A. Mendelson Chaim Baskin MQ 72 4 0 05 Apr 2022
Fault-Tolerant Deep Learning: A Hierarchical Perspective Cheng Liu Zhen Gao Siting Liu Xuefei Ning Huawei Li Xiaowei Li 46 9 0 05 Apr 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation Ahmad Shawahna S. M. Sait A. El-Maleh Irfan Ahmad MQ 25 7 0 22 Mar 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 32 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 31 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 32 13 0 07 Mar 2022
Patch Similarity Aware Data-Free Quantization for Vision Transformers Zhikai Li Liping Ma Mengjuan Chen Junrui Xiao Qingyi Gu MQ ViT 32 44 0 04 Mar 2022
Highly-Efficient Binary Neural Networks for Visual Place Recognition Bruno Ferrarini Michael Milford Klaus D. McDonald-Maier Shoaib Ehsan 21 7 0 24 Feb 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 32 19 0 23 Feb 2022
Distilled Neural Networks for Efficient Learning to Rank F. M. Nardini Cosimo Rulli Salvatore Trani Rossano Venturini FedML 29 16 0 22 Feb 2022
Bit-wise Training of Neural Network Weights Cristian Ivan MQ 18 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 32 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 Yi Ding Tianlong Chen Xiaolong Ma Zhangyang Wang Yanzhi Wang ViT 33 46 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 79 49 0 09 Jan 2022
Automatic Mixed-Precision Quantization Search of BERT Changsheng Zhao Ting Hua Yilin Shen Qian Lou Hongxia Jin MQ 25 19 0 30 Dec 2021
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch Souvik Kundu Shikai Wang Qirui Sun Peter A. Beerel Massoud Pedram MQ 29 18 0 24 Dec 2021
Training Quantized Deep Neural Networks via Cooperative Coevolution Fu Peng Shengcai Liu Ning Lu Ke Tang MQ 26 1 0 23 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 33 23 0 19 Dec 2021
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 30 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 23 8 0 15 Dec 2021
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators Lennart Bamberg Arash Pourtaherian Luc Waeijen A. Chahar Orlando Moreira 22 4 0 13 Dec 2021
Neural Network Quantization for Efficient Inference: A Survey Olivia Weng MQ 28 23 0 08 Dec 2021
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks Huu Le R. Høier Che-Tsung Lin Christopher Zach 55 17 0 06 Dec 2021
Information Theoretic Representation Distillation Roy Miles Adrian Lopez-Rodriguez K. Mikolajczyk MQ 26 21 0 01 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Yaoyu Zhang Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 18 1 0 01 Dec 2021
PokeBNN: A Binary Pursuit of Lightweight Accuracy Yichi Zhang Zhiru Zhang Lukasz Lew MQ 45 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 25 103 0 29 Nov 2021
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition Junhao Xu Jianwei Yu Shoukang Hu Xunying Liu Helen Meng MQ 35 13 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 45 15 0 29 Nov 2021
Low-bit Quantization of Recurrent Neural Network Language Models Using Alternating Direction Methods of Multipliers Junhao Xu Xie Chen Shoukang Hu Jianwei Yu Xunying Liu Helen Meng MQ 30 9 0 29 Nov 2021
Improved Knowledge Distillation via Adversarial Collaboration Zhiqiang Liu Chengkai Huang Yanxia Liu 31 2 0 29 Nov 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 40 24 0 24 Nov 2021
Mesa: A Memory-saving Training Framework for Transformers Zizheng Pan Peng Chen Haoyu He Jing Liu Jianfei Cai Bohan Zhuang 33 20 0 22 Nov 2021
XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks Jian Sun A. P. Fard Mohammad H. Mahoor 3DPC 30 8 0 21 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 26 0 0 19 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Mingliang Xu Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 51 71 0 17 Nov 2021