v1v2 (latest)

LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks

29 October 2019

Papers citing "LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks"

48 / 48 papers shown

Title
pathGCN: Learning General Graph Spatial Operators from Paths Moshe Eliasof E. Haber Eran Treister 3DPC GNN 55 27 0 15 Jul 2022
Wavelet Feature Maps Compression for Image-to-Image CNNs Shahaf E. Finder Yair Zohav Maor Ashkenazi Eran Treister 57 19 0 24 May 2022
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations Ido Ben-Yair Gil Ben Shalom Moshe Eliasof Eran Treister MQ 83 5 0 31 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 92 129 0 04 Aug 2021
MGIC: Multigrid-in-Channels Neural Network Architectures Moshe Eliasof Jonathan Ephrath Lars Ruthotto Eran Treister 79 8 0 17 Nov 2020
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks Jonathan Ephrath Lars Ruthotto Eran Treister 31 1 0 11 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling Moshe Eliasof Eran Treister 39 25 0 07 Jun 2020
Deep connections between learning from limited labels & physical parameter estimation -- inspiration for regularization Bas Peters AI4CE 38 0 0 17 Mar 2020
MixConv: Mixed Depthwise Convolutional Kernels Mingxing Tan Quoc V. Le 63 378 0 22 Jul 2019
Deep Learning for Audio Signal Processing Hendrik Purwins Yue Liu Tuomas Virtanen Jan Schlüter Shuo-yiin Chang Tara N. Sainath VLM 98 594 0 30 Apr 2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution Yunpeng Chen Haoqi Fan Bing Xu Zhicheng Yan Yannis Kalantidis Marcus Rohrbach Shuicheng Yan Jiashi Feng 103 562 0 10 Apr 2019
IMEXnet: A Forward Stable Deep Neural Network E. Haber Keegan Lensink Eran Treister Lars Ruthotto 76 41 0 06 Mar 2019
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks Ting-Wu Chin Cha Zhang Diana Marculescu 59 46 0 01 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 49 45 0 14 Sep 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 181 5,000 0 30 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,156 0 19 Jun 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 84 339 0 25 May 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 124 491 0 12 Apr 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions Zheng Qin Zhaoning Zhang Dongsheng Li Yiming Zhang Yuxing Peng 55 28 0 27 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 186 19,316 0 13 Jan 2018
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions Bichen Wu Alvin Wan Xiangyu Yue Peter H. Jin Sicheng Zhao Noah Golmant A. Gholaminejad Joseph E. Gonzalez Kurt Keutzer 3DPC 63 364 0 22 Nov 2017
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Yiping Lu Aoxiao Zhong Quanzheng Li Bin Dong 210 505 0 27 Oct 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks B. Chang Lili Meng E. Haber Lars Ruthotto David Begert E. Holtham AI4CE 83 264 0 12 Sep 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 58 1,761 0 20 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 141 6,878 0 04 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 232 8,481 0 17 Jun 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 53 211 0 07 Jun 2017
Stable Architectures for Deep Neural Networks E. Haber Lars Ruthotto 147 733 0 09 May 2017
Deep Relaxation: partial differential equations for optimizing deep neural networks Pratik Chaudhari Adam M. Oberman Stanley Osher Stefano Soatto G. Carlier 140 154 0 17 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,880 0 17 Apr 2017
The Power of Sparsity in Convolutional Neural Networks Soravit Changpinyo Mark Sandler A. Zhmoginov 70 133 0 21 Feb 2017
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes Tobias Pohlen Alexander Hermans Markus Mathias Bastian Leibe SSeg 88 563 0 24 Nov 2016
Pruning Convolutional Neural Networks for Resource Efficient Inference Pavlo Molchanov Stephen Tyree Tero Karras Timo Aila Jan Kautz CVBM VLM 66 417 0 19 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,345 0 16 Nov 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 195 3,697 0 31 Aug 2016
Dynamic Network Surgery for Efficient DNNs Yiwen Guo Anbang Yao Yurong Chen 84 1,059 0 16 Aug 2016
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure Min Wang Baoyuan Liu H. Foroosh 49 51 0 15 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 181 2,340 0 12 Aug 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks Song Han Jeff Pool Sharan Narang Huizi Mao Enhao Gong ... Peter Vajda Manohar Paluri J. Tran Bryan Catanzaro W. Dally CVBM 45 83 0 15 Jul 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 246 3,224 0 15 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,641 0 06 Apr 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,192 0 16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 381 14,260 0 23 Feb 2016
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 211 5,217 0 22 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,694 0 08 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014