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 / 501 papers shown

Title
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 30 135 0 20 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking Haichuan Yang Yuhao Zhu Ji Liu CVBM 19 36 0 12 Jun 2018
Perturbative Neural Networks Felix Juefei Xu Vishnu Boddeti Marios Savvides 24 37 0 05 Jun 2018
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing Jianzhong Sheng Chuanbo Chen Chenchen Fu Chun Jason Xue 6 4 0 05 Jun 2018
Retraining-Based Iterative Weight Quantization for Deep Neural Networks Dongsoo Lee Byeongwook Kim MQ 36 16 0 29 May 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 30 147 0 26 May 2018
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang 16 20 0 25 May 2018
Automated Verification of Neural Networks: Advances, Challenges and Perspectives Francesco Leofante Nina Narodytska Luca Pulina A. Tacchella AAML 28 69 0 25 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 13 939 0 16 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection Yi Wei Xinyu Pan Hongwei Qin Wanli Ouyang Junjie Yan ObjD 22 88 0 06 May 2018
RMDL: Random Multimodel Deep Learning for Classification Kamran Kowsari Mojtaba Heidarysafa Donald E. Brown K. Meimandi Laura E. Barnes VLM OOD 27 157 0 03 May 2018
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 85 388 0 16 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory Ameya Prabhu Vishal Batchu Rohit Gajawada Sri Aurobindo Munagala A. Namboodiri MQ 33 18 0 11 Apr 2018
Training DNNs with Hybrid Block Floating Point M. Drumond Tao R. Lin Martin Jaggi Babak Falsafi 25 95 0 04 Apr 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions Zheng Qin Zhaoning Zhang Dongsheng Li Yiming Zhang Yuxing Peng 25 28 0 27 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 25 80 0 16 Mar 2018
Efficient Hardware Realization of Convolutional Neural Networks using Intra-Kernel Regular Pruning Maurice Yang Mahmoud Faraj Assem Hussein V. Gaudet CVBM 22 12 0 15 Mar 2018
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine Renzo Andri Lukas Cavigelli D. Rossi Luca Benini MQ 24 19 0 05 Mar 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks Qianxiao Li Shuji Hao 21 75 0 04 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 874 0 03 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 26 178 0 28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos Bowen Pan Wuwei Lin Xiaolin Fang Chaoqin Huang Bolei Zhou Cewu Lu ObjD 28 33 0 27 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 703 0 26 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng Jiang Yiyu Shi 36 4 0 26 Feb 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 35 71 0 23 Feb 2018
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy Images an Approach for inside Capsule Video Summarization M. Hajabdollahi Reza Esfandiarpoor S. M. Reza Soroushmehr N. Karimi S. Samavi Kayvan Najarian MedIm 21 16 0 21 Feb 2018
Deep Learning for Joint Source-Channel Coding of Text Nariman Farsad Milind Rao Andrea J. Goldsmith 32 341 0 19 Feb 2018
Training and Inference with Integers in Deep Neural Networks Shuang Wu Guoqi Li F. Chen Luping Shi MQ 41 389 0 13 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi MQ 37 21 0 10 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning Yixing Li Fengbo Ren MQ 19 12 0 03 Feb 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights Arun Mallya Dillon Davis Svetlana Lazebnik CLL 15 35 0 19 Jan 2018
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 22 78 0 19 Jan 2018
Fix your classifier: the marginal value of training the last weight layer Elad Hoffer Itay Hubara Daniel Soudry 35 101 0 14 Jan 2018
Automated Pruning for Deep Neural Network Compression Franco Manessi A. Rozza Simone Bianco Paolo Napoletano Raimondo Schettini 36 56 0 05 Dec 2017
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks Ruizhou Ding Z. Liu Rongye Shi Diana Marculescu R. D. Blanton MQ 24 37 0 02 Dec 2017
Deep Learning for Real-Time Crime Forecasting and its Ternarization Bao Wang Penghang Yin Andrea L. Bertozzi P. Brantingham Stanley J. Osher Jack Xin AI4TS 38 82 0 23 Nov 2017
Markov chain Hebbian learning algorithm with ternary synaptic units Guhyun Kim V. Kornijcuk Dohun Kim Inho Kim Jaewook Kim Hyo Cheon Woo Jihun Kim C. S. Hwang D. Jeong 25 3 0 23 Nov 2017
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation Moritz B. Milde Daniel Neil Alessandro Aimar T. Delbruck Giacomo Indiveri MQ 31 9 0 13 Nov 2017
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks Sanchari Sen Shubham Jain Swagath Venkataramani A. Raghunathan 24 30 0 07 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 33 231 0 01 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick Oran Shayer Dan Levi Ethan Fetaya 21 88 0 21 Oct 2017
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 90 1,767 0 10 Oct 2017
Connectivity Learning in Multi-Branch Networks Karim Ahmed Lorenzo Torresani 24 26 0 27 Sep 2017
Flexible Network Binarization with Layer-wise Priority He Wang Yi Tian Xu Bingbing Ni Hongteng Xu MQ 31 10 0 13 Sep 2017
WRPN: Wide Reduced-Precision Networks Asit K. Mishra Eriko Nurvitadhi Jeffrey J. Cook Debbie Marr MQ 39 266 0 04 Sep 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 38 10 0 16 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 38 35 0 31 Jul 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization Frederick Tung S. Muralidharan Greg Mori 27 35 0 28 Jul 2017