Binary Neural Networks: A Survey

31 March 2020

Xianglong Liu

Jingkuan Song

Papers citing "Binary Neural Networks: A Survey"

50 / 157 papers shown

Title
Hardware-friendly Deep Learning by Network Quantization and Binarization Haotong Qin MQ 20 4 0 01 Dec 2021
Universal Swarm Computing by Nanorobots A. Rowhanimanesh M. Akbarzadeh-T. 14 0 0 22 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 21 0 0 19 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
Demystifying and Generalizing BinaryConnect Abhishek Sharma Yaoliang Yu Eyyub Sari Mahdi Zolnouri V. Nia MQ 15 8 0 25 Oct 2021
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks Jannis Kurtz B. Bah MQ 14 4 0 21 Oct 2021
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey M. M. Real Ruben Salvador AAML 15 30 0 21 Oct 2021
A comprehensive review of Binary Neural Network Chunyu Yuan S. Agaian MQ 37 94 0 11 Oct 2021
Dynamic Binary Neural Network by learning channel-wise thresholds Jiehua Zhang Z. Su Yang Feng Xin Lu M. Pietikäinen Li Liu MQ 11 18 0 08 Oct 2021
Federated Learning via Plurality Vote Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 18 8 0 06 Oct 2021
8-bit Optimizers via Block-wise Quantization Tim Dettmers M. Lewis Sam Shleifer Luke Zettlemoyer MQ 17 267 0 06 Oct 2021
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 8 1 0 06 Oct 2021
Random matrices in service of ML footprint: ternary random features with no performance loss Hafiz Tiomoko Ali Zhenyu Liao Romain Couillet 36 7 0 05 Oct 2021
Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 23 61 0 30 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Mingli Song Dacheng Tao 16 38 0 27 Sep 2021
Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization Haotong Qin Yifu Ding Xiangguo Zhang Jiakai Wang Xianglong Liu Jiwen Lu DiffM MQ 14 49 0 01 Sep 2021
On the Acceleration of Deep Neural Network Inference using Quantized Compressed Sensing Meshia Cédric Oveneke MQ 9 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 25 19 0 20 Aug 2021
BEANNA: A Binary-Enabled Architecture for Neural Network Acceleration C. Terrill Fred Chu MQ 9 0 0 04 Aug 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML MQ 24 56 0 29 Jul 2021
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference Jun Wang Chao Jin S. Meftah Khin Mi Mi Aung UQCV 6 3 0 05 Jul 2021
Quantum Annealing Formulation for Binary Neural Networks Michele Sasdelli Tat-Jun Chin MQ 11 16 0 05 Jul 2021
Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations Yaniv Shulman MQ 8 1 0 03 Jul 2021
LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy R. Dogaru I. Dogaru CVBM 11 3 0 25 Jun 2021
An Empirical Investigation into Deep and Shallow Rule Learning Florian Beck Johannes Furnkranz NAI 16 7 0 18 Jun 2021
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization Mohammed Jouhari A. Al-Ali Emna Baccour Amr M. Mohamed A. Erbad M. Guizani Mounir Hamdi 9 41 0 23 May 2021
Binarized Weight Error Networks With a Transition Regularization Term Savas Ozkan G. Akar MQ 10 1 0 09 May 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things Huming Qiu Hua Ma Zhi-Li Zhang Yifeng Zheng Anmin Fu Pan Zhou Yansong Gao Derek Abbott S. Al-Sarawi MQ 11 9 0 09 May 2021
Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions Tse-Wei Chen Wei Tao Deyu Wang Dongchao Wen Kinya Osa Masami Kato CVBM 3DV 13 1 0 29 Apr 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization Tianlong Chen Zhenyu (Allen) Zhang Xu Ouyang Zechun Liu Zhiqiang Shen Zhangyang Wang MQ 31 36 0 16 Apr 2021
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks C. Suarez-Ramirez M. González-Mendoza Leonardo Chang-Fernández Gilberto Ochoa-Ruiz M. Duran-Vega MQ 9 7 0 11 Apr 2021
Binary Neural Network for Speaker Verification Tinglong Zhu Xiaoyi Qin Ming Li MQ 13 12 0 06 Apr 2021
BCNN: Binary Complex Neural Network Yanfei Li Tong Geng Ang Li Huimin Yu MQ 17 8 0 28 Mar 2021
Deep Learning Techniques for In-Crop Weed Identification: A Review Kun Hu Zhiyong Wang Guy R. Y. Coleman Asher Bender Tingting Yao Shan Zeng Dezhen Song Arnold Schumann Michael Walsh 12 26 0 27 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer B. Kailkhura MQ 16 75 0 17 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision Hainan Li Renshuai Tao Jun Li Haotong Qin Yifu Ding Shuo Wang Xianglong Liu SSL 19 8 0 10 Mar 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 133 194 0 01 Mar 2021
Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang Haotong Qin Yifu Ding Ruihao Gong Qing Yan Renshuai Tao Yuhang Li F. Yu Xianglong Liu MQ 52 94 0 01 Mar 2021
QuPeL: Quantized Personalization with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML 14 5 0 23 Feb 2021
Dither computing: a hybrid deterministic-stochastic computing framework C. Wu 14 3 0 22 Feb 2021
SiMaN: Sign-to-Magnitude Network Binarization Mingbao Lin Rongrong Ji Zi-Han Xu Baochang Zhang Fei Chao Chia-Wen Lin Ling Shao AAML MQ 16 25 0 16 Feb 2021
Enabling Binary Neural Network Training on the Edge Erwei Wang James J. Davis Daniele Moro Piotr Zielinski Jia Jie Lim C. Coelho S. Chatterjee P. Cheung G. Constantinides MQ 15 24 0 08 Feb 2021
Compressed Object Detection Gedeon Muhawenayo Georgia Gkioxari 8 3 0 04 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 671 0 24 Jan 2021
A non-alternating graph hashing algorithm for large scale image search S. Hemati Mohammad Hadi Mehdizavareh Shojaéddin Chenouri Hamid R Tizhoosh 11 4 0 24 Dec 2020
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations Yichi Zhang Junhao Pan Xinheng Liu Hongzheng Chen Deming Chen Zhiru Zhang MQ 33 87 0 22 Dec 2020
A Review of Recent Advances of Binary Neural Networks for Edge Computing Wenyu Zhao Teli Ma Xuan Gong Baochang Zhang David Doermann MQ 8 22 0 24 Nov 2020
BiPointNet: Binary Neural Network for Point Clouds Haotong Qin Zhongang Cai Mingyuan Zhang Yifu Ding Haiyu Zhao Shuai Yi Xianglong Liu Hao Su 3DPC 9 50 0 12 Oct 2020
Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios Douglas De Rizzo Meneghetti T. P. D. Homem Jonas Henrique Renolfi de Oliveira I. J. Silva D. Perico Reinaldo A. C. Bianchi 6 7 0 28 Sep 2020
Rotated Binary Neural Network Mingbao Lin Rongrong Ji Zi-Han Xu Baochang Zhang Yan Wang Yongjian Wu Feiyue Huang Chia-Wen Lin MQ 6 129 0 28 Sep 2020