v1v2v3v4 (latest)

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 1,731 papers shown

Title
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Mohamed Bennai K. Pekmestzi Dimitrios Soudris 110 3 0 20 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 76 9 0 19 Jul 2023
DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification Guandong Li 47 6 0 13 Jul 2023
Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor Zhuowen Yin Xinyao Ding Xin Zhang Zhengwang Wu Liwen Wang Xiangmin Xu Gang Li 166 5 0 12 Jul 2023
Number Systems for Deep Neural Network Architectures: A Survey Ghada Alsuhli Vasileios Sakellariou H. Saleh Mahmoud Al-Qutayri Baker Mohammad T. Stouraitis 85 3 0 11 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators Zhun Yang Joohyung Lee Chi-youn Park 86 20 0 10 Jul 2023
Learning Discrete Weights and Activations Using the Local Reparameterization Trick G. Berger Aviv Navon Ethan Fetaya MQ 55 0 0 04 Jul 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning Jun Chen Shipeng Bai Tianxin Huang Mengmeng Wang Guanzhong Tian Y. Liu MQ 119 19 0 02 Jul 2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler Shaohui Lin Wenxuan Huang Jiao Xie Baochang Zhang Chunjiang Ge Zhou Yu Jungong Han David Doermann 81 2 0 01 Jul 2023
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes Hao Sun Lei Hsiung Nandhini Chandramoorthy Pin-Yu Chen Tsung-Yi Ho AAML 97 0 0 29 Jun 2023
Streaming egocentric action anticipation: An evaluation scheme and approach Antonino Furnari G. Farinella EgoV 73 3 0 29 Jun 2023
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models Phuoc-Hoan Charles Le Xinlin Li ViT MQ 89 21 0 29 Jun 2023
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs Yanjing Li Sheng Xu Xianbin Cao Lian Zhuo Baochang Zhang Tian Wang Guodong Guo 85 3 0 27 Jun 2023
Binary domain generalization for sparsifying binary neural networks Riccardo Schiavone Francesco Galati Maria A. Zuluaga MQ 81 0 0 23 Jun 2023
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation Soyed Tuhin Ahmed K. Danouchi Michael Hefenbrock G. Prenat L. Anghel M. Tahoori 75 8 0 16 Jun 2023
Neural Network Compression using Binarization and Few Full-Precision Weights F. M. Nardini Cosimo Rulli Salvatore Trani Rossano Venturini MQ 90 1 0 15 Jun 2023
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware Lakshmi Nair D. Bunandar 59 0 0 05 Jun 2023
Binary and Ternary Natural Language Generation Zechun Liu Barlas Oğuz Aasish Pappu Yangyang Shi Raghuraman Krishnamoorthi MQ 101 6 0 02 Jun 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks Jintang Li Huizhe Zhang Ruofan Wu Zulun Zhu Baokun Wang Changhua Meng Zibin Zheng Liang Chen SSL 74 9 0 30 May 2023
PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration Ahmed F. AbouElhamayed Angela Cui Javier Fernandez-Marques Nicholas D. Lane Mohamed S. Abdelfattah MQ 82 6 0 25 May 2023
BinaryViT: Towards Efficient and Accurate Binary Vision Transformers Junrui Xiao Zhikai Li Lianwei Yang Qingyi Gu MQ ViT 114 2 0 24 May 2023
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 93 34 0 22 May 2023
Bi-ViT: Pushing the Limit of Vision Transformer Quantization Yanjing Li Sheng Xu Mingbao Lin Xianbin Cao Chuanjian Liu Xiao Sun Baochang Zhang ViT MQ 101 11 0 21 May 2023
Evaluation Metrics for DNNs Compression Abanoub Ghobrial S. Budgett Dieter Balemans Hamid Asgari Philippe Reiter Kerstin Eder 94 1 0 18 May 2023
Binarized Spectral Compressive Imaging Yuan-Yuan Cai Yuxing Zheng Jing Lin X. Yuan Yulun Zhang Haoqian Wang 165 25 0 17 May 2023
A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning Joseph Lindsay Ramtin Zand 54 3 0 17 May 2023
GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples T. Gao Chengzhong Xu Le Zhang Hui Kong 129 4 0 13 May 2023
$$\partial\mathbb{B}$ nets: learning discrete functions by gradient descent$ $\partial\mathbb{B}$ nets: learning discrete functions by gradient descent Ian Wright 131 0 0 12 May 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization Yulong Yang Chenhao Lin Qian Li Zhengyu Zhao Haoran Fan Dawei Zhou Nannan Wang Tongliang Liu Chao Shen AAML MQ 136 14 0 10 May 2023
Input Layer Binarization with Bit-Plane Encoding Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 62 6 0 04 May 2023
Cuttlefish: Low-Rank Model Training without All the Tuning Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 158 23 0 04 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 96 7 0 04 May 2023
A Digital Twin Empowered Lightweight Model Sharing Scheme for Multi-Robot Systems Kai Xiong Zhihong Wang S. Leng Jianhua He 49 9 0 03 May 2023
Photonic Advantage of Optical Encoders Luocheng Huang Quentin A. A. Tanguy Johannes E. Froch Saswata Mukherjee K. Böhringer Anirudha Majumdar 95 22 0 02 May 2023
CORSD: Class-Oriented Relational Self Distillation Muzhou Yu S. Tan Kailu Wu Runpei Dong Linfeng Zhang Kaisheng Ma 48 0 0 28 Apr 2023
Multiplierless In-filter Computing for tinyML Platforms Abhishek Ramdas Nair P. Nath S. Chakrabartty Chetan Singh Thakur 34 1 0 24 Apr 2023
Deep Convolutional Tables: Deep Learning without Convolutions S. Dekel Y. Keller Aharon Bar-Hillel 3DV 98 0 0 23 Apr 2023
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors Zichao Shen Neil Howard J. Núñez-Yáñez 95 2 0 19 Apr 2023
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression Ziwei Wang Jiwen Lu Han Xiao Shengyu Liu Jie Zhou OffRL 71 1 0 13 Apr 2023
Scale-Space Hypernetworks for Efficient Biomedical Imaging Jose Javier Gonzalez Ortiz John Guttag Adrian Dalca 66 0 0 11 Apr 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 78 4 0 11 Apr 2023
Efficient Feature Description for Small Body Relative Navigation using Binary Convolutional Neural Networks Travis Driver Panagiotis Tsiotras 82 0 0 11 Apr 2023
A priori compression of convolutional neural networks for wave simulators Hamza Boukraichi N. Akkari F. Casenave David Ryckelynck 68 2 0 11 Apr 2023
Training Neural Networks for Execution on Approximate Hardware Tianmu Li Shurui Li Puneet Gupta 67 1 0 08 Apr 2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 59 0 0 07 Apr 2023
Optimizing data-flow in Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 86 6 0 03 Apr 2023
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge Vishnu Narayanan Moothedath J. Champati J. Gross 118 9 0 03 Apr 2023
Information-Theoretic GAN Compression with Variational Energy-based Model Minsoo Kang Hyewon Yoo Eunhee Kang Sehwan Ki Hyong-Euk Lee Bohyung Han GAN 80 3 0 28 Mar 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis Xiuwei Xu Ziwei Wang Jie Zhou Jiwen Lu 3DPC MQ 102 6 0 27 Mar 2023
Architecturing Binarized Neural Networks for Traffic Sign Recognition Andreea Postovan Madalina Erascu 50 5 0 27 Mar 2023