Shake-Shake regularization

21 May 2017

Papers citing "Shake-Shake regularization"

42 / 92 papers shown

Title
GridMask Data Augmentation Pengguang Chen Shu Liu Hengshuang Zhao Xingquan Wang Jiaya Jia 41 310 0 13 Jan 2020
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Zhang Zhaobai Zhong AAML 33 197 0 24 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning Christoph Mayer M. Paul Radu Timofte 27 12 0 22 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 33 41 0 20 Dec 2019
On the Regularization Properties of Structured Dropout Ambar Pal Connor Lane René Vidal B. Haeffele 18 13 0 30 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 42 309 0 04 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 114 3,423 0 30 Sep 2019
Convolutional Neural Networks with Dynamic Regularization Yi Wang Zhen-Peng Bian Junhui Hou Lap-Pui Chau 21 21 0 26 Sep 2019
Receptive-field-regularized CNN variants for acoustic scene classification Khaled Koutini Hamid Eghbalzadeh Gerhard Widmer 27 29 0 05 Sep 2019
Capsule Networks Need an Improved Routing Algorithm Inyoung Paik Taeyeong Kwak Injung Kim 27 35 0 31 Jul 2019
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks Zehui Lin Pengfei Liu Luyao Huang Junkun Chen Xipeng Qiu Xuanjing Huang 3DPC 16 44 0 25 Jul 2019
XferNAS: Transfer Neural Architecture Search Martin Wistuba 29 12 0 18 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 35 122 0 23 Jun 2019
Fully Decoupled Neural Network Learning Using Delayed Gradients Huiping Zhuang Yi Wang Qinglai Liu Shuai Zhang Zhiping Lin FedML 25 30 0 21 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 33 204 0 06 Jun 2019
Attention Augmented Convolutional Networks Irwan Bello Barret Zoph Ashish Vaswani Jonathon Shlens Quoc V. Le 46 999 0 22 Apr 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search Andrew Hundt Varun Jain Gregory Hager OOD 30 66 0 23 Mar 2019
Selective Kernel Networks Xiang Li Wenhai Wang Xiaolin Hu Jian Yang 46 2,003 0 15 Mar 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions G. Ding Kry Yik-Chau Lui Xiaomeng Jin Luyu Wang Ruitong Huang OOD 26 59 0 22 Feb 2019
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks Charbel Sakr Naigang Wang Chia-Yu Chen Jungwook Choi A. Agrawal Naresh R Shanbhag K. Gopalakrishnan MQ 30 34 0 19 Jan 2019
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 29 63 0 20 Dec 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 28 326 0 22 Nov 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans T. Ho-Phuoc 11 41 0 18 Nov 2018
Sequenced-Replacement Sampling for Deep Learning C. Ho Dae Hoon Park Wei Yang Yi Chang 24 0 0 19 Oct 2018
Sample Mixed-Based Data Augmentation for Domestic Audio Tagging Shengyun Wei Kele Xu Dezhi Wang Feifan Liao Huaimin Wang Qiuqiang Kong 131 38 0 12 Aug 2018
Path-Level Network Transformation for Efficient Architecture Search Han Cai Jiacheng Yang Weinan Zhang Song Han Yong Yu 27 210 0 07 Jun 2018
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex Hongyang R. Zhang Junru Shao Ruslan Salakhutdinov 39 14 0 06 Jun 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD FedML ELM 39 405 0 01 Jun 2018
Improved Mixed-Example Data Augmentation Cecilia Summers M. Dinneen 35 159 0 29 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 63 1,758 0 24 May 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students Chenglin Yang Lingxi Xie Siyuan Qiao Alan Yuille 32 135 0 15 May 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 36 1,024 0 12 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 499 0 24 Apr 2018
Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in Affective Computing Che-Wei Huang Shrikanth Narayanan 26 4 0 18 Apr 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 60 1,621 0 14 Mar 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 35 71 0 23 Feb 2018
Effective Building Block Design for Deep Convolutional Neural Networks using Search Jayanta K. Dutta Jiayi Liu Unmesh Kurup Mohak Shah 3DV 32 11 0 25 Jan 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 65 2,087 0 14 Nov 2017
Simple And Efficient Architecture Search for Convolutional Neural Networks T. Elsken J. H. Metzen Frank Hutter 36 230 0 13 Nov 2017
Connectivity Learning in Multi-Branch Networks Karim Ahmed Lorenzo Torresani 24 26 0 27 Sep 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 90 26,062 0 05 Sep 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 310 2,896 0 15 Sep 2016