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 / 493 papers shown

Title
All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes Yahui Zhang J. Robertson S. Xiang Matvej Hejda Julián Bueno Antonio Hurtado 21 35 0 09 Nov 2020
Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy Guoqing Bao M. Graeber Xiuying Wang 13 5 0 07 Nov 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks Jianfei Chen Yujie Gai Z. Yao Michael W. Mahoney Joseph E. Gonzalez MQ 17 58 0 27 Oct 2020
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks Thomas Bird F. Kingma David Barber SyDa MQ AI4CE 26 9 0 26 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 15 55 0 10 Oct 2020
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 27 57 0 07 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks Po-Hsiang Yu Sih-Sian Wu Jan P. Klopp Liang-Gee Chen Shao-Yi Chien MQ 25 14 0 05 Oct 2020
Some Remarks on Replicated Simulated Annealing Vicent Gripon Matthias Löwe Franck Vermet 19 2 0 30 Sep 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 30 29 0 30 Sep 2020
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges Liangkai Liu Sidi Lu Ren Zhong Baofu Wu Yongtao Yao Qingyan Zhang Weisong Shi 27 267 0 30 Sep 2020
Self-grouping Convolutional Neural Networks Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 25 22 0 29 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 19 129 0 28 Sep 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Weiwen Jiang Runbin Shi Xue Lin Yanzhi Wang MQ 27 7 0 16 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 53 609 0 10 Sep 2020
Alternating Direction Method of Multipliers for Quantization Tianjian Huang Prajwal Singhania Maziar Sanjabi Pabitra Mitra Meisam Razaviyayn MQ 24 10 0 08 Sep 2020
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks Jonathan Ashbrock A. Powell MQ 30 5 0 25 Aug 2020
Training Sparse Neural Networks using Compressed Sensing Jonathan W. Siegel Jianhong Chen Pengchuan Zhang Jinchao Xu 26 5 0 21 Aug 2020
Nonparametric Learning of Two-Layer ReLU Residual Units Zhunxuan Wang Linyun He Chunchuan Lyu Shay B. Cohen MLT OffRL 33 1 0 17 Aug 2020
Weight Equalizing Shift Scaler-Coupled Post-training Quantization Jihun Oh Sangjeong Lee Meejeong Park Pooni Walagaurav K. Kwon MQ 23 1 0 13 Aug 2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics Y. Iiyama G. Cerminara Abhijay Gupta J. Kieseler Vladimir Loncar ... Miaoyuan Liu K. Pedro N. Tran E. Kreinar Zhenbin Wu 13 66 0 08 Aug 2020
Controlling Information Capacity of Binary Neural Network D. Ignatov Andrey D. Ignatov MQ 36 21 0 04 Aug 2020
A Survey on Concept Factorization: From Shallow to Deep Representation Learning Zhao Zhang Yan Zhang Mingliang Xu Li Zhang Yi Yang Shuicheng Yan 24 30 0 31 Jul 2020
A General Family of Stochastic Proximal Gradient Methods for Deep Learning Jihun Yun A. Lozano Eunho Yang 20 12 0 15 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 39 27 0 13 Jul 2020
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs H. T. Kung Bradley McDanel S. Zhang MQ 21 9 0 13 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang Bohyung Han AAML 35 139 0 08 Jul 2020
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage Weiwen Jiang Jinjun Xiong Yiyu Shi 15 76 0 26 Jun 2020
DCAF: A Dynamic Computation Allocation Framework for Online Serving System Biye Jiang Pengye Zhang Rihan Chen Binding Dai Xinchen Luo Yifan Yang Guan Wang Guorui Zhou Xiaoqiang Zhu Kun Gai 8 15 0 17 Jun 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 34 175 0 15 Jun 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 35 123 0 14 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,851 0 09 Jun 2020
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 48 8 0 31 May 2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 20 99 0 24 May 2020
Cross-filter compression for CNN inference acceleration Fuyuan Lyu Shien Zhu Weichen Liu MQ 17 0 0 18 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 35 64 0 14 May 2020
Binarizing MobileNet via Evolution-based Searching Hai T. Phan Zechun Liu Dang T. Huynh Marios Savvides Kwang-Ting Cheng Zhiqiang Shen 3DV MQ 32 43 0 13 May 2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes Qiang Yu Chenxiang Ma Shiming Song Gaoyan Zhang J. Dang Kay Chen Tan 28 49 0 05 May 2020
Spiking Neural Networks Hardware Implementations and Challenges: a Survey Maxence Bouvier A. Valentian T. Mesquida F. Rummens M. Reyboz Elisa Vianello E. Beigné 56 113 0 04 May 2020
Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays Laurie Bose Jianing Chen S. Carey Piotr Dudek W. Mayol-Cuevas 22 37 0 27 Apr 2020
Automatic low-bit hybrid quantization of neural networks through meta learning Tao Wang Junsong Wang Chang Xu Chao Xue MQ 16 2 0 24 Apr 2020
On the Compressive Power of Boolean Threshold Autoencoders A. Melkman Sini Guo W. Ching Pengyu Liu Tatsuya Akutsu AI4CE 16 3 0 21 Apr 2020
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification Seyed Ahmad Mirsalari Sima Sinaei M. Salehi Masoud Daneshtalab MQ 11 5 0 19 Apr 2020
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training Simon Wiedemann Temesgen Mehari Kevin Kepp Wojciech Samek 27 18 0 09 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs Jun Chen L. Liu Yong Liu Xianfang Zeng MQ 41 26 0 06 Apr 2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks Hongwei Yong Jianqiang Huang Xiansheng Hua Lei Zhang ODL 27 183 0 03 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 459 0 31 Mar 2020
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks Marko Vasic Cameron T. Chalk S. Khurshid D. Soloveichik NAI MQ 9 17 0 30 Mar 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context Wenyu Zhang Skyler Seto Devesh K. Jha 20 5 0 26 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 43 15 0 18 Mar 2020
CoCoPIE: Making Mobile AI Sweet As PIE --Compression-Compilation Co-Design Goes a Long Way Shaoshan Liu Bin Ren Xipeng Shen Yanzhi Wang 17 18 0 14 Mar 2020