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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
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks Cheng Gong Ye Lu Kunpeng Xie Zongming Jin Tao Li Yanzhi Wang MQ 66 7 0 08 Sep 2021
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss J. H. Lee Jihun Yun Sung Ju Hwang Eunho Yang MQ 101 15 0 05 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 98 32 0 01 Sep 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 122 18 0 30 Aug 2021
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression Minsik Cho Keivan Alizadeh Vahid Saurabh N. Adya Mohammad Rastegari 110 34 0 28 Aug 2021
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation Jiaqi Gu Hanqing Zhu Chenghao Feng Mingjie Liu Zixuan Jiang Ray T. Chen David Z. Pan 57 4 0 25 Aug 2021
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity Wei Niu Zhengang Xiaolong Ma Zhaoyang Han Gang Zhou Xuehai Qian Xue Lin Yanzhi Wang Bin Ren 47 19 0 25 Aug 2021
Dynamic Network Quantization for Efficient Video Inference Ximeng Sun Yikang Shen Chun-Fu Chen A. Oliva Rogerio Feris Kate Saenko 93 46 0 23 Aug 2021
On the Acceleration of Deep Neural Network Inference using Quantized Compressed Sensing Meshia Cédric Oveneke MQ 49 0 0 23 Aug 2021
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 126 21 0 20 Aug 2021
Memory-Efficient Factorization Machines via Binarizing both Data and Model Coefficients Yu Geng Liang Lan 22 0 0 17 Aug 2021
On the Importance of Encrypting Deep Features Xingyang Ni H. Huttunen Esa Rahtu MIACV 74 0 0 16 Aug 2021
Distance-aware Quantization Dohyung Kim Junghyup Lee Bumsub Ham MQ 55 29 0 16 Aug 2021
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices Md Mohaimenuzzaman Christoph Bergmeir B. Meyer 69 21 0 13 Aug 2021
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation Ziwei Wang Han Xiao Jiwen Lu Jie Zhou MQ 85 32 0 05 Aug 2021
BEANNA: A Binary-Enabled Architecture for Neural Network Acceleration C. Terrill Fred Chu MQ 44 0 0 04 Aug 2021
Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance V. Osaulenko Danylo Ulianych 60 2 0 02 Aug 2021
Tiny Machine Learning for Concept Drift Simone Disabato M. Roveri 83 28 0 30 Jul 2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN Xiaohan Ding Tianxiang Hao Jungong Han Yuchen Guo Guiguang Ding 79 14 0 30 Jul 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework Miao Yin Yang Sui Siyu Liao Bo Yuan 65 81 0 26 Jul 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 53 14 0 23 Jul 2021
Pruning Ternary Quantization Danyang Liu Xiangshan Chen Jie Fu Chen Ma Xue Liu MQ 76 0 0 23 Jul 2021
Double Similarity Distillation for Semantic Image Segmentation Yingchao Feng Xian Sun Wenhui Diao Jihao Li Xin Gao 48 63 0 19 Jul 2021
A High-Performance Adaptive Quantization Approach for Edge CNN Applications Hsu-Hsun Chin R. Tsay Hsin-I Wu MQ 59 5 0 18 Jul 2021
Compact and Optimal Deep Learning with Recurrent Parameter Generators Jiayun Wang Yubei Chen Stella X. Yu Brian Cheung Yann LeCun BDL 93 4 0 15 Jul 2021
LANA: Latency Aware Network Acceleration Pavlo Molchanov Jimmy Hall Hongxu Yin Jan Kautz Nicolò Fusi Arash Vahdat 145 10 0 12 Jul 2021
HEMP: High-order Entropy Minimization for neural network comPression Enzo Tartaglione Stéphane Lathuilière Attilio Fiandrotti Marco Cagnazzo Marco Grangetto MQ 59 7 0 12 Jul 2021
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression Shaowu Chen Jihao Zhou Weize Sun Lei Huang 55 21 0 09 Jul 2021
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions Miguel Á. Carreira-Perpiñán Yerlan Idelbayev 126 6 0 09 Jul 2021
$S^3$ : Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks Xinlin Li Bang Liu Yaoliang Yu Wulong Liu Chunjing Xu V. Nia MQ 97 5 0 07 Jul 2021
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations Peidong Liu Zibin He Xiyu Yan Yong Jiang Shutao Xia Feng Zheng Maowei Hu 69 11 0 07 Jul 2021
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference Zhiyu Chen Zhanghao Yu Qing Jin Yan He Jingyu Wang Sheng Lin Dai Li Yanzhi Wang Kaiyuan Yang MQ 47 82 0 06 Jul 2021
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference Jun Wang Chao Jin S. Meftah Khin Mi Mi Aung UQCV 47 3 0 05 Jul 2021
Quantum Annealing Formulation for Binary Neural Networks Michele Sasdelli Tat-Jun Chin MQ 61 16 0 05 Jul 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 102 0 0 04 Jul 2021
Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations Yaniv Shulman MQ 35 1 0 03 Jul 2021
Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks Hakbin Kim Dong-Wan Choi 50 2 0 03 Jul 2021
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks A. Majumdar M. Bocquet T. Hirtzlin Axel Laborieux Jacques-Olivier Klein E. Nowak Elisa Vianello J. Portal D. Querlioz 35 3 0 02 Jul 2021
Learning Mesh Representations via Binary Space Partitioning Tree Networks Zhiqin Chen Andrea Tagliasacchi Hao Zhang 3DPC 3DV AI4CE 100 7 0 27 Jun 2021
LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update Jiawei Zhao Steve Dai Rangharajan Venkatesan Brian Zimmer Mustafa Ali Xuan Li Brucek Khailany B. Dally Anima Anandkumar MQ 91 14 0 26 Jun 2021
How Do Adam and Training Strategies Help BNNs Optimization? Zechun Liu Zhiqiang Shen Shichao Li K. Helwegen Dong Huang Kwang-Ting Cheng ODL MQ 95 86 0 21 Jun 2021
Cogradient Descent for Dependable Learning Runqi Wang Baochang Zhang Lian Zhuo QiXiang Ye David Doermann 42 0 0 20 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang Yinghao Xu Yujun Shen VLM SSL 53 10 0 19 Jun 2021
Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration Qigong Sun Xiufang Li Fanhua Shang Hongying Liu Kan Yang L. Jiao Zhouchen Lin MQ 64 0 0 18 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 123 394 0 16 Jun 2021
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression Sheng Lin Wei Jiang Wei Wang Kaidi Xu Yanzhi Wang Shan Liu Songnan Li 50 1 0 15 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang MQ 68 11 0 13 Jun 2021
DECORE: Deep Compression with Reinforcement Learning Manoj Alwani Yang Wang Vashisht Madhavan AI4CE 82 44 0 11 Jun 2021
Verifying Quantized Neural Networks using SMT-Based Model Checking Luiz Sena Xidan Song E. Alves I. Bessa Edoardo Manino Lucas C. Cordeiro Eddie Batista de Lima Filho 77 11 0 10 Jun 2021
Distilling Image Classifiers in Object Detectors Shuxuan Guo J. Álvarez Mathieu Salzmann VLM 66 8 0 09 Jun 2021