Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks

14 May 2020

Lei Wang

Papers citing "Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks"

21 / 21 papers shown

Title
Dynamic Convolution: Attention over Convolution Kernels Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 98 891 0 07 Dec 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 345 6,778 0 06 May 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 70 635 0 10 Apr 2019
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 120 3,009 0 31 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 174 4,987 0 30 Jul 2018
Differentiable Learning-to-Normalize via Switchable Normalization Ping Luo Jiamin Ren Zhanglin Peng Ruimao Zhang Jingyu Li 43 177 0 28 Jun 2018
Understanding Batch Normalization Johan Bjorck Carla P. Gomes B. Selman Kilian Q. Weinberger 146 610 0 01 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks Ke Sun Mingjie Li Dong Liu Jingdong Wang 90 126 0 01 Jun 2018
Group Normalization Yuxin Wu Kaiming He 228 3,654 0 22 Mar 2018
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 174 5,596 0 21 Jul 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 455 2,511 0 08 Jun 2017
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks Chunjie Luo Jianfeng Zhan Lei Wang Qiang Yang 62 201 0 20 Feb 2017
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models Sergey Ioffe BDL 61 540 0 10 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 509 10,322 0 16 Nov 2016
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren Renjie Liao R. Urtasun Fabian H. Sinz R. Zemel 69 81 0 14 Nov 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 410 10,482 0 21 Jul 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 480 9,048 0 10 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 337 7,984 0 23 May 2016
Recurrent Batch Normalization Tim Cooijmans Nicolas Ballas César Laurent Çağlar Gülçehre Aaron Courville ODL 48 410 0 30 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 150 7,482 0 24 Feb 2016
Network In Network Min Lin Qiang Chen Shuicheng Yan 291 6,275 0 16 Dec 2013