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Rethinking Bottleneck Structure for Efficient Mobile Network Design

5 July 2020

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Papers citing "Rethinking Bottleneck Structure for Efficient Mobile Network Design"

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Title
FREAK: Frequency-modulated High-fidelity and Real-time Audio-driven Talking Portrait Synthesis Ziqi Ni Ao Fu Yi Zhou 171 0 0 06 Mar 2025
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs Valentin Radu Kuba Kaszyk Yuan Wen Jack Turner José Cano Elliot J. Crowley Björn Franke Amos Storkey Michael F. P. O'Boyle CVBM 47 38 0 20 Feb 2020
Pruning Convolutional Neural Networks with Self-Supervision Mathilde Caron Ari S. Morcos Piotr Bojanowski Julien Mairal Armand Joulin SSL 3DPC 48 12 0 10 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 141 714 0 02 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 547 42,639 0 03 Dec 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 99 2,690 0 27 Nov 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions Duo Li Aojun Zhou Anbang Yao 50 39 0 11 Aug 2019
MixConv: Mixed Depthwise Convolutional Kernels Mingxing Tan Quoc V. Le 66 378 0 22 Jul 2019
Neural Epitome Search for Architecture-Agnostic Network Compression Daquan Zhou Xiaojie Jin Qibin Hou Kaixin Wang Jianchao Yang Jiashi Feng 64 13 0 12 Jul 2019
Fixing the train-test resolution discrepancy Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou 129 424 0 14 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 164 18,193 0 28 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 359 6,811 0 06 May 2019
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent Karthik A. Sankararaman Soham De Zheng Xu Wenjie Huang Tom Goldstein ODL 59 104 0 15 Apr 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo Xiangyu Zhang Haoyuan Mu Wen Heng Zechun Liu Yichen Wei Jian Sun 106 940 0 31 Mar 2019
Selective Kernel Networks Xiang Li Wenhai Wang Xiaolin Hu Jian Yang 94 2,038 0 15 Mar 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 83 685 0 25 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 75 364 0 18 Feb 2019
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Peter Vajda Yangqing Jia Kurt Keutzer MQ 100 1,307 0 09 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 105 1,876 0 02 Dec 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 128 3,018 0 31 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 181 5,012 0 30 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 206 4,368 0 24 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks Ke Sun Mingjie Li Dong Liu Jingdong Wang 96 126 0 01 Jun 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 207 19,335 0 13 Jan 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,568 0 05 Sep 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 127 2,426 0 22 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 186 5,608 0 21 Jul 2017
Dual Path Networks Yunpeng Chen Jianan Li Huaxin Xiao Xiaojie Jin Shuicheng Yan Jiashi Feng 93 830 0 06 Jul 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 20,892 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,351 0 16 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,608 0 07 Oct 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 157 1,868 0 22 Sep 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 353 8,002 0 23 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 249 29,879 0 08 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,862 0 01 Oct 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,733 0 09 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 132 1,465 0 15 May 2014