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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
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 83 18 0 29 Aug 2022
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform Simon Narduzzi Engin Turetken Jean-Philippe Thiran L. A. Dunbar 3DH CVBM 46 1 0 23 Aug 2022
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization Xinlin Li Bangya Liu Ruizhi Yang Vanessa Courville Chao Xing V. Nia MQ 106 3 0 20 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 81 2 0 18 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhaopeng Tu Xinghao Chen Pengju Ren Yunhe Wang MQ 108 60 0 17 Aug 2022
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Tim Dettmers M. Lewis Younes Belkada Luke Zettlemoyer MQ 206 667 0 15 Aug 2022
PECAN: A Product-Quantized Content Addressable Memory Network Jie Ran R. Lin Jason Chun Lok Li Jiajun Zhou Ngai Wong MQ 97 8 0 13 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 115 13 0 11 Aug 2022
Differentiable Inference of Temporal Logic Formulas Nicole Fronda Houssam Abbas 62 6 0 10 Aug 2022
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization Hao Sun Mengshu Sun Alec Lu Haoyu Ma Geng Yuan ... Yanyu Li M. Leeser Zhangyang Wang Xue Lin Zhenman Fang ViT MQ 67 55 0 10 Aug 2022
HWGN2: Side-channel Protected Neural Networks through Secure and Private Function Evaluation Mohammad J. Hashemi Steffi Roy Domenic Forte F. Ganji AAML 73 2 0 07 Aug 2022
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators Qinghao Hu Gang Li Qiman Wu Jian Cheng MQ 42 2 0 03 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 Mohamed Bennai MQ 69 4 0 31 Jul 2022
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis Soheil Nazar Shahsavani A. Fayyazi M. Nazemi Massoud Pedram 34 2 0 30 Jul 2022
Low-complexity Approximate Convolutional Neural Networks R. de Sobral Cintra S. Duffner Christophe Garcia André Leite MQ 83 46 0 29 Jul 2022
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition Ye Qiao Mohammed Alnemari N. Bagherzadeh MQ 46 7 0 26 Jul 2022
Dive into Big Model Training Qinghua Liu Yuxiang Jiang MoMe AI4CE LRM 49 3 0 25 Jul 2022
Pose Forecasting in Industrial Human-Robot Collaboration Alessio Sampieri Guido DÁmely Andrea Avogaro Federico Cunico Geri Skenderi Francesco Setti Marco Cristani Fabio Galasso 56 31 0 24 Jul 2022
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks Chien-Yu Lin Anish K. Prabhu Thomas Merth Sachin Mehta Anurag Ranjan Maxwell Horton Mohammad Rastegari 62 2 0 21 Jul 2022
RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via Repeating Xulong Shi Zhi Qi Jiaxuan Cai Keqi Fu Yaru Zhao Zan Li Xuanyu Liu Hao Liu MQ 69 3 0 19 Jul 2022
Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime Saad Ashfaq Mohammadhossein Askarihemmat Sudhakar Sah Ehsan Saboori Olivier Mastropietro Alexander Hoffman BDL MQ 57 5 0 18 Jul 2022
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow Zhiqiang Lang Chongxing Song Lei Zhang Wei Wei SupR MQ 97 4 0 14 Jul 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 96 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 100 5 0 13 Jul 2022
Learning Representations for CSI Adaptive Quantization and Feedback Valentina Rizzello Matteo Nerini M. Joham B. Clerckx Wolfgang Utschick MQ 48 6 0 13 Jul 2022
Normalized Feature Distillation for Semantic Segmentation Tao Liu Xi Yang Chenshu Chen 68 5 0 12 Jul 2022
Sparsifying Binary Networks Riccardo Schiavone Maria A. Zuluaga MQ 57 0 0 11 Jul 2022
Network Binarization via Contrastive Learning Yuzhang Shang Dan Xu Ziliang Zong Liqiang Nie Yan Yan AAML MQ 96 22 0 06 Jul 2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation Geondo Park Jaehong Yoon Hai-Feng Zhang Xingge Zhang Sung Ju Hwang Yonina C. Eldar MQ 77 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 71 1 0 01 Jul 2022
On-Device Training Under 256KB Memory Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan Song Han MQ 162 213 0 30 Jun 2022
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps Hyunjin Kim Jungwoon Shin Alberto A. Del Barrio MQ 63 2 0 26 Jun 2022
How to train accurate BNNs for embedded systems? F. D. Putter Henk Corporaal MQ 75 6 0 24 Jun 2022
Towards Green ASR: Lossless 4-bit Quantization of a Hybrid TDNN System on the 300-hr Switchboard Corpus Junhao Xu Shoukang Hu Xunying Liu Helen M. Meng MQ 88 5 0 23 Jun 2022
A Langevin-like Sampler for Discrete Distributions Ruqi Zhang Xingchao Liu Qiang Liu BDL 66 42 0 20 Jun 2022
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models Gunho Park Baeseong Park Minsub Kim Sungjae Lee Jeonghoon Kim Beomseok Kwon S. Kwon Byeongwook Kim Youngjoo Lee Dongsoo Lee MQ 113 85 0 20 Jun 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 87 7 0 17 Jun 2022
PRANC: Pseudo RAndom Networks for Compacting deep models Parsa Nooralinejad Ali Abbasi Soroush Abbasi Koohpayegani Kossar Pourahmadi Meibodi Rana Muhammad Shahroz Khan Soheil Kolouri Hamed Pirsiavash DD 106 0 0 16 Jun 2022
Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks Kaiqi Zhang Ming Yin Yu Wang MQ 87 5 0 13 Jun 2022
Pixel to Binary Embedding Towards Robustness for CNNs Ikki Kishida Hideki Nakayama 140 0 0 13 Jun 2022
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction Ngoc Duy Pham A. Abuadbba Yansong Gao K. Phan Naveen Chilamkurti 69 36 0 10 Jun 2022
Compilation and Optimizations for Efficient Machine Learning on Embedded Systems Xiaofan Zhang Yao Chen Cong Hao Sitao Huang Yuhong Li Deming Chen 88 1 0 06 Jun 2022
Searching Similarity Measure for Binarized Neural Networks Yanfei Li Ang Li Huimin Yu 63 0 0 05 Jun 2022
Combinatorial optimization for low bit-width neural networks Hanxu Zhou Aida Ashrafi Matthew B. Blaschko MQ 124 0 0 04 Jun 2022
Extreme Compression for Pre-trained Transformers Made Simple and Efficient Xiaoxia Wu Z. Yao Minjia Zhang Conglong Li Yuxiong He MQ 73 31 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 151 19 0 02 Jun 2022
NIPQ: Noise proxy-based Integrated Pseudo-Quantization Juncheol Shin Junhyuk So Sein Park Seungyeop Kang S. Yoo Eunhyeok Park 68 28 0 02 Jun 2022
ORC: Network Group-based Knowledge Distillation using Online Role Change Jun-woo Choi Hyeon Cho Seockhwa Jeong Wonjun Hwang 48 3 0 01 Jun 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating E. Passov E. David N. Netanyahu AAML 65 0 0 30 May 2022
BiT: Robustly Binarized Multi-distilled Transformer Zechun Liu Barlas Oğuz Aasish Pappu Lin Xiao Scott Yih Meng Li Raghuraman Krishnamoorthi Yashar Mehdad MQ 134 55 0 25 May 2022