BinaryConnect: Training Deep Neural Networks with binary weights during propagations

2 November 2015

Papers citing "BinaryConnect: Training Deep Neural Networks with binary weights during propagations"

50 / 508 papers shown

Title
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs Souvik Kundu Saurav Prakash H. Akrami P. Beerel K. Chugg 36 12 0 02 Oct 2019
XNOR-Net++: Improved Binary Neural Networks Adrian Bulat Georgios Tzimiropoulos MQ 39 200 0 30 Sep 2019
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs Caiwen Ding Shuo Wang Ning Liu Kaidi Xu Yanzhi Wang Yun Liang MQ 24 89 0 29 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 24 18 0 27 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 22 17 0 22 Sep 2019
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks Shubham Jain S. Gupta A. Raghunathan MQ 30 37 0 15 Sep 2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement Qing Yang Jiachen Mao Zuoguan Wang H. Li 21 15 0 13 Sep 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks R. Ramakrishnan Eyyub Sari V. Nia VLM 34 15 0 10 Sep 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks Shuang Gao Xin Liu Lung-Sheng Chien William Zhang J. Álvarez VLM 3DPC 21 15 0 10 Sep 2019
Knowledge Distillation for End-to-End Person Search Bharti Munjal Fabio Galasso S. Amin FedML 45 15 0 03 Sep 2019
Image Captioning with Sparse Recurrent Neural Network J. Tan Chee Seng Chan Joon Huang Chuah VLM 29 6 0 28 Aug 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 17 5 0 23 Aug 2019
Bayesian Optimized 1-Bit CNNs Jiaxin Gu Junhe Zhao Xiaolong Jiang Baochang Zhang Jianzhuang Liu G. Guo Rongrong Ji BDL MQ 17 56 0 17 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 32 446 0 14 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Distilling Knowledge From a Deep Pose Regressor Network Muhamad Risqi U. Saputra Pedro Porto Buarque de Gusmão Yasin Almalioglu Andrew Markham A. Trigoni 9 102 0 02 Aug 2019
Distributed Deep Convolutional Neural Networks for the Internet-of-Things Simone Disabato M. Roveri Cesare Alippi 24 47 0 02 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 25 1,423 0 02 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification Hai T. Phan Dang T. Huynh Yihui He Marios Savvides Zhiqiang Shen MQ 36 49 0 29 Jul 2019
Distilled Siamese Networks for Visual Tracking Jianbing Shen Yuanpei Liu Xingping Dong Xiankai Lu Fahad Shahbaz Khan Guosheng Lin 17 101 0 24 Jul 2019
Recurrent Neural Networks: An Embedded Computing Perspective Nesma M. Rezk M. Purnaprajna Tomas Nordstrom Z. Ul-Abdin 43 81 0 23 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 17 977 0 19 Jul 2019
Learning Multimodal Fixed-Point Weights using Gradient Descent Lukas Enderich Fabian Timm Lars Rosenbaum Wolfram Burgard MQ 17 9 0 16 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 37 149 0 12 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 35 0 0 09 Jul 2019
Privacy-Preserving Classification with Secret Vector Machines Valentin Hartmann Konark Modi J. M. Pujol Robert West 23 14 0 08 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 24 14 0 01 Jul 2019
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms Joonhyun Jeong Sung-Ho Bae 42 1 0 25 Jun 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection Zhuo Chen Jiyuan Zhang Ruizhou Ding Diana Marculescu 13 12 0 19 Jun 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 26 8 0 14 Jun 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 19 502 0 11 Jun 2019
BasisConv: A method for compressed representation and learning in CNNs M. Tayyab Abhijit Mahalanobis 3DPC SSL 24 6 0 11 Jun 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization K. Helwegen James Widdicombe Lukas Geiger Zechun Liu K. Cheng Roeland Nusselder MQ 27 110 0 05 Jun 2019
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 29 101 0 05 Jun 2019
Efficient Neural Architecture Search via Proximal Iterations Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu 24 104 0 30 May 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness Adnan Siraj Rakin Zhezhi He Li Yang Yanzhi Wang Liqiang Wang Deliang Fan AAML 40 21 0 30 May 2019
Attention Based Pruning for Shift Networks G. B. Hacene Carlos Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio 41 25 0 29 May 2019
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization S. Kwon Dongsoo Lee Byeongwook Kim Parichay Kapoor Baeseong Park Gu-Yeon Wei MQ 21 48 0 24 May 2019
The Convolutional Tsetlin Machine Ole-Christoffer Granmo Sondre Glimsdal Lei Jiao M. G. Olsen C. Omlin G. T. Berge 6 80 0 23 May 2019
Joint learning of cartesian undersampling and reconstruction for accelerated MRI Tomer Weiss S. Vedula Ortal Senouf O. Michailovich M. Zibulevsky A. Bronstein 11 25 0 22 May 2019
Multinomial Distribution Learning for Effective Neural Architecture Search Xiawu Zheng Rongrong Ji Lang Tang Baochang Zhang Jianzhuang Liu Q. Tian 25 88 0 18 May 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 27 846 0 17 May 2019
EdgeSegNet: A Compact Network for Semantic Segmentation Z. Q. Lin Brendan Chwyl A. Wong SSeg 22 9 0 10 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 97 6,616 0 06 May 2019
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM Sheng Lin Xiaolong Ma Shaokai Ye Geng Yuan Kaisheng Ma Yanzhi Wang MQ 30 10 0 02 May 2019
SWALP : Stochastic Weight Averaging in Low-Precision Training Guandao Yang Tianyi Zhang Polina Kirichenko Junwen Bai A. Wilson Christopher De Sa 24 94 0 26 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 60 297 0 05 Apr 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos Maja Pantic 22 67 0 04 Apr 2019