Stimulative Training++: Go Beyond The Performance Limits of Residual
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Stimulative Training++: Go Beyond The Performance Limits of Residual Networks

4 May 2023

Tao Chen

Papers citing "Stimulative Training++: Go Beyond The Performance Limits of Residual Networks"

7 / 7 papers shown

Title
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing Peng Ye Shengji Tang Baopu Li Tao Chen Wanli Ouyang 21 11 0 09 Oct 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 158 258 0 19 May 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 194 477 0 01 Oct 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 204 1,275 0 04 Dec 2018
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 948 20,214 0 17 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 236 35,884 0 25 Aug 2016