R-Block: Regularized Block of Dropout for convolutional networks

27 July 2023

Papers citing "R-Block: Regularized Block of Dropout for convolutional networks"

13 / 13 papers shown

Title
SimCSE: Simple Contrastive Learning of Sentence Embeddings Tianyu Gao Xingcheng Yao Danqi Chen AILaw SSL 261 3,392 0 18 Apr 2021
DropCluster: A structured dropout for convolutional networks Liyang Chen P. Gautier Sergul Aydore 47 11 0 07 Feb 2020
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 68 861 0 17 May 2019
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 109 914 0 30 Oct 2018
Group Normalization Yuxin Wu Kaiming He 228 3,654 0 22 Mar 2018
Fraternal Dropout Konrad Zolna Devansh Arpit Dendi Suhubdy Yoshua Bengio 50 53 0 31 Oct 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 172 5,596 0 21 Jul 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 148 1,651 0 01 Jun 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 410 10,482 0 21 Jul 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,182 0 16 Mar 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,358 0 02 Dec 2015
Towards Dropout Training for Convolutional Neural Networks Haibing Wu Xiaodong Gu 66 299 0 01 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015