Learning the Number of Neurons in Deep Networks

19 November 2016

Papers citing "Learning the Number of Neurons in Deep Networks"

50 / 204 papers shown

Title
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution Van-Thanh Hoang K. Jo 19 3 0 17 Nov 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 25 594 0 28 Oct 2018
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao L. Dudziak Robert D. Mullins Chengzhong Xu 42 311 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,449 0 11 Oct 2018
Target Aware Network Adaptation for Efficient Representation Learning Yang Zhong Vladimir Li R. Okada A. Maki 21 6 0 02 Oct 2018
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams Mahardhika Pratama Andri Ashfahani Yew-Soon Ong Savitha Ramasamy E. Lughofer 6 15 0 24 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 74 2,422 0 06 Sep 2018
Metabolize Neural Network Dan Dai Zhiwen Yu Yang Hu Wenming Cao Mingnan Luo 11 0 0 04 Sep 2018
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams Mahardhika Pratama Witold Pedrycz Geoffrey I. Webb 11 48 0 26 Aug 2018
Deep Stacked Stochastic Configuration Networks for Lifelong Learning of Non-Stationary Data Streams Mahardhika Pratama Dianhui Wang BDL 11 53 0 07 Aug 2018
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks Yuzhe Ma Ran Chen Wei Li Fanhua Shang Wenjian Yu Minsik Cho Bei Yu 20 3 0 26 Jul 2018
$Make $\ell_1$ Regularization Effective in Training Sparse CNN$ Make $\ell_1$ Regularization Effective in Training Sparse CNN Juncai He Xiaodong Jia Jinchao Xu Lian Zhang Liang Zhao 19 5 0 11 Jul 2018
Fuzzy Logic Interpretation of Quadratic Networks Fenglei Fan Ge Wang 32 7 0 04 Jul 2018
Doubly Nested Network for Resource-Efficient Inference Jaehong Kim Sungeun Hong Yongseok Choi Jiwon Kim 21 5 0 20 Jun 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 15 77 0 13 Jun 2018
Smallify: Learning Network Size while Training Guillaume Leclerc Manasi Vartak Raul Castro Fernandez Tim Kraska Samuel Madden 4 13 0 10 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks Ke Sun Mingjie Li Dong Liu Jingdong Wang 45 126 0 01 Jun 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
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck Aleksander Wieczorek Mario Wieser Damian Murezzan Volker Roth SSL 15 28 0 17 Apr 2018
Select, Attend, and Transfer: Light, Learnable Skip Connections Saeid Asgari Taghanaki A. Bentaieb Anmol Sharma S. Kevin Zhou Yefeng Zheng ... Puneet Sharma Sasa Grbic Zhoubing Xu Dorin Comaniciu Ghassan Hamarneh 38 20 0 14 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks Xin Yu Zhiding Yu Srikumar Ramalingam 14 17 0 05 Apr 2018
Learning Sparse Structured Ensembles with SG-MCMC and Network Pruning Yichi Zhang Zhijian Ou 22 0 0 01 Mar 2018
Neural Granger Causality Alex Tank Ian Covert N. Foti Ali Shojaie E. Fox CML 23 100 0 16 Feb 2018
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks Zhihao Jia Sina Lin C. Qi A. Aiken 37 117 0 14 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe-nan Lin Jianmin Wang 27 406 0 01 Feb 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 28 177 0 23 Jan 2018
Nonparametric Neural Networks George Philipp J. Carbonell 19 21 0 14 Dec 2017
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks Eunwoo Kim Chanho Ahn Songhwai Oh 18 2 0 11 Dec 2017
Recurrent Neural Networks for Semantic Instance Segmentation Amaia Salvador Míriam Bellver Victor Campos Manel Baradad F. Marqués Jordi Torres Xavier Giró-i-Nieto SSeg 24 62 0 02 Dec 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions Gao Huang Shichen Liu L. V. D. van der Maaten Kilian Q. Weinberger 39 796 0 25 Nov 2017
An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery Alex Tank Ian Cover N. Foti Ali Shojaie E. Fox CML 20 24 0 22 Nov 2017
Residual Parameter Transfer for Deep Domain Adaptation Artem Rozantsev Mathieu Salzmann Pascal Fua OOD 19 56 0 21 Nov 2017
Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification Jean Feng N. Simon 16 99 0 21 Nov 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks A. Gordon Elad Eban Ofir Nachum Bo Chen Hao Wu Tien-Ju Yang Edward Choi 27 337 0 18 Nov 2017
Online Deep Learning: Learning Deep Neural Networks on the Fly Doyen Sahoo Quang Pham Jing Lu Guosheng Lin OnRL AI4CE 27 316 0 10 Nov 2017
Compression-aware Training of Deep Networks J. Álvarez Mathieu Salzmann 21 172 0 07 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
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 37 1,248 0 05 Oct 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory W. Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen H. Li MQ 35 140 0 15 Sep 2017
Domain-adaptive deep network compression Marc Masana Joost van de Weijer Luis Herranz Andrew D. Bagdanov J. Álvarez 41 62 0 04 Sep 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 14 1,201 0 04 Aug 2017
Neuron Pruning for Compressing Deep Networks using Maxout Architectures Fernando Moya Rueda René Grzeszick G. Fink CVBM 22 17 0 21 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 86 2,505 0 19 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 53 558 0 05 Jul 2017
Model Selection in Bayesian Neural Networks via Horseshoe Priors S. Ghosh Finale Doshi-Velez BDL 16 119 0 29 May 2017
Structural Compression of Convolutional Neural Networks R. Abbasi-Asl Bin-Xia Yu 33 16 0 20 May 2017
Building effective deep neural network architectures one feature at a time Martin Mundt Tobias Weis K. Konda Visvanathan Ramesh 24 1 0 18 May 2017
DNA Steganalysis Using Deep Recurrent Neural Networks Ho Bae Byunghan Lee Sunyoung Kwon Sungroh Yoon 19 9 0 27 Apr 2017
Coordinating Filters for Faster Deep Neural Networks W. Wen Cong Xu Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 16 138 0 28 Mar 2017
Deep Stochastic Configuration Networks with Universal Approximation Property Dianhui Wang Ming Li BDL 13 6 0 18 Feb 2017