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Improved Regularization of Convolutional Neural Networks with Cutout

15 August 2017

Papers citing "Improved Regularization of Convolutional Neural Networks with Cutout"

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Title
On the Convergence of AdaBound and its Connection to SGD Pedro H. P. Savarese ODL 37 19 0 13 Aug 2019
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Shigang Li Tal Ben-Nun Salvatore Di Girolamo Dan Alistarh Torsten Hoefler 147 59 0 12 Aug 2019
Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency Elad Hoffer Berry Weinstein Itay Hubara Tal Ben-Nun Torsten Hoefler Daniel Soudry 113 20 0 12 Aug 2019
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning G. Wang Jianxin Wu 63 30 0 09 Aug 2019
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules Hyojin Park Lars Lowe Sjösund Y. Yoo Jihwan Bang Nojun Kwak SSeg 67 26 0 08 Aug 2019
Sound source detection, localization and classification using consecutive ensemble of CRNN models Slawomir Kapka M. Lewandowski 111 66 0 02 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 165 1,478 0 02 Aug 2019
Greedy AutoAugment Alireza Naghizadeh Mohammadsajad Abavisani Dimitris N. Metaxas 31 15 0 02 Aug 2019
Efficient Method for Categorize Animals in the Wild Abulikemu Abuduweili Xin Wu Xingchen Tao 32 4 0 30 Jul 2019
Safe Augmentation: Learning Task-Specific Transformations from Data Irynei Baran Orest Kupyn A. Kravchenko 18 2 0 30 Jul 2019
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks A. Tiulpin Iaroslav Melekhov S. Saarakkala 61 45 0 29 Jul 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 113 329 0 28 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 70 46 0 25 Jul 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 80 38 0 25 Jul 2019
Temporally Consistent Horizon Lines Florian Kluger H. Ackermann M. Yang Bodo Rosenhahn AI4TS 188 16 0 23 Jul 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 168 735 0 19 Jul 2019
XferNAS: Transfer Neural Architecture Search Martin Wistuba 65 12 0 18 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 276 1,486 0 16 Jul 2019
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems Mark D Mcdonnell Hesham Mostafa Runchun Wang Andre van Schaik MQ 44 2 0 16 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Guo-Jun Qi Qi Tian H. Xiong 142 612 0 12 Jul 2019
Genetic Network Architecture Search H. Habi Gil Rafalovich 20 1 0 05 Jul 2019
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search Xiangxiang Chu Bo Zhang Ruijun Xu 117 334 0 03 Jul 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory Liu Ziyin Zhikang T. Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda 109 114 0 29 Jun 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 108 534 0 26 Jun 2019
Further advantages of data augmentation on convolutional neural networks Alex Hernández-García Peter König 70 108 0 26 Jun 2019
XNAS: Neural Architecture Search with Expert Advice Niv Nayman Asaf Noy T. Ridnik Itamar Friedman Rong Jin Lihi Zelnik-Manor 85 129 0 19 Jun 2019
Prune and Replace NAS Kevin Laube A. Zell 59 13 0 18 Jun 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection Changhee Han Yoshiro Kitamura Akira Kudo Akimichi Ichinose L. Rundo Yujiro Furukawa Kazuki Umemoto Yuanzhong Li Hideki Nakayama MedIm 82 117 0 12 Jun 2019
Suppressing Model Overfitting for Image Super-Resolution Networks Ruicheng Feng Jinjin Gu Yu Qiao Chao Dong SupR 56 39 0 11 Jun 2019
BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey Gavia Gray 84 38 0 10 Jun 2019
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification Benlin Hu Cheng-Hsun Lei Dong Wang Shu Zhang Zhenyu Chen 39 50 0 09 Jun 2019
One-Shot Neural Architecture Search via Compressive Sensing Minsu Cho Mohammadreza Soltani Chinmay Hegde 62 17 0 07 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 172 205 0 06 Jun 2019
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets Devansh Arpit Victor Campos Yoshua Bengio 83 59 0 05 Jun 2019
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 117 29 0 05 Jun 2019
Separable Layers Enable Structured Efficient Linear Substitutions Gavia Gray Elliot J. Crowley Amos Storkey 68 3 0 03 Jun 2019
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching Hao Wang Qilong Wang Fan Yang Jiexia Ye W. Zuo 97 62 0 02 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 130 754 0 31 May 2019
Efficient Forward Architecture Search Hanzhang Hu John Langford R. Caruana Saurajit Mukherjee Eric Horvitz Debadeepta Dey 55 40 0 31 May 2019
On Network Design Spaces for Visual Recognition Ilija Radosavovic Justin Johnson Saining Xie Wan-Yen Lo Piotr Dollár 96 136 0 30 May 2019
Efficient Neural Architecture Search via Proximal Iterations Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu 110 104 0 30 May 2019
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 119 62 0 28 May 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 137 144 0 28 May 2019
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning Xiawu Zheng Chenyi Yang Shaokun Zhang Yan Wang Baochang Zhang Yongjian Wu Yunsheng Wu Ling Shao Rongrong Ji 88 22 0 28 May 2019
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning Y. Lu Ziyao Tang T. Javidi 20 0 0 24 May 2019
Multi-Sample Dropout for Accelerated Training and Better Generalization H. Inoue 106 69 0 23 May 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search Youhei Akimoto Shinichi Shirakawa Nozomu Yoshinari Kento Uchida Shota Saito K. Nishida 77 87 0 21 May 2019
Multinomial Distribution Learning for Effective Neural Architecture Search Xiawu Zheng Rongrong Ji Lang Tang Baochang Zhang Jianzhuang Liu Q. Tian 96 91 0 18 May 2019
Online Hyper-parameter Learning for Auto-Augmentation Strategy Chen Lin Minghao Guo Chuming Li Yuan Xin Wei Wu Dahua Lin Wanli Ouyang Junjie Yan ODL 64 84 0 17 May 2019
ROI Regularization for Semi-supervised and Supervised Learning H. Kaizuka Yasuhiro Nagasaki R. Sako 23 1 0 15 May 2019