Improved Regularization of Convolutional Neural Networks with Cutout

15 August 2017

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

50 / 798 papers shown

Title
Neural Architecture Search on Acoustic Scene Classification Jixiang Li Chuming Liang Bo Zhang Zhao Wang Fei Xiang Xiangxiang Chu 26 15 0 30 Dec 2019
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Zhang Zhaobai Zhong AAML 33 197 0 24 Dec 2019
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild Xin Chen Lingxi Xie Jun Wu Qi Tian 11 94 0 23 Dec 2019
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 24 9 0 22 Dec 2019
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms Varun Nair Javier Fuentes Alonso Tony Beltramelli 33 26 0 18 Dec 2019
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 29 59 0 11 Dec 2019
Exploiting Operation Importance for Differentiable Neural Architecture Search Xukai Xie Yuan Zhou S. Kung 17 34 0 24 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 22 112 0 19 Nov 2019
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images H. Pinckaers Bram van Ginneken G. Litjens MedIm 32 94 0 11 Nov 2019
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection Weihong Lin Jia-Xing Zhong Shan Liu Thomas H. Li Ge Li ObjD 20 111 0 08 Nov 2019
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 36 284 0 26 Oct 2019
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model Oleksii Hrinchuk Mariya Popova Boris Ginsburg VLM 20 87 0 23 Oct 2019
Occlusions for Effective Data Augmentation in Image Classification Ruth C. Fong Andrea Vedaldi 30 20 0 23 Oct 2019
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling Heung-Chang Lee Do-Guk Kim Bohyung Han 38 6 0 23 Oct 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 18 149 0 14 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours Xuanyi Dong Yezhou Yang 20 648 0 10 Oct 2019
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data N. Gessert M. Nielsen M. Shaikh R. Werner Alexander Schlaefer 27 257 0 09 Oct 2019
Partial differential equation regularization for supervised machine learning Jillian R. Fisher 32 2 0 03 Oct 2019
Saliency is a Possible Red Herring When Diagnosing Poor Generalization J. Viviano B. Simpson Francis Dutil Yoshua Bengio Joseph Paul Cohen FAtt 28 6 0 01 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 147 3,425 0 30 Sep 2019
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution Taojiannan Yang Sijie Zhu Chong Chen Shen Yan Mi Zhang Andrew Willis OOD 25 74 0 27 Sep 2019
Convolutional Neural Networks with Dynamic Regularization Yi Wang Zhen-Peng Bian Junhui Hou Lap-Pui Chau 21 21 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Balanced One-shot Neural Architecture Optimization Renqian Luo Tao Qin Enhong Chen BDL 22 14 0 24 Sep 2019
Deep Convolutions for In-Depth Automated Rock Typing E. E. Baraboshkin L. Ismailova D. Orlov E. Zhukovskaya G. Kalmykov O. V. Khotylev E. Baraboshkin D. Koroteev 36 84 0 23 Sep 2019
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 66 369 0 20 Sep 2019
Adversarial Policy Gradient for Deep Learning Image Augmentation Kaiyang Cheng C. Iriondo Francesco Calivá Justin D. Krogue S. Majumdar V. Pedoia MedIm 29 12 0 09 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 34 70 0 08 Sep 2019
Matrix Nets: A New Deep Architecture for Object Detection Abdullah M. Rashwan Agastya Kalra Pascal Poupart ObjD 25 19 0 13 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 29 20 0 12 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 48 1,423 0 02 Aug 2019
Efficient Method for Categorize Animals in the Wild Abulikemu Abuduweili Xin Wu Xingchen Tao 21 4 0 30 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 36 327 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 16 44 0 25 Jul 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 54 723 0 19 Jul 2019
XferNAS: Transfer Neural Architecture Search Martin Wistuba 29 12 0 18 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 106 1,428 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 48 605 0 12 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 26 111 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 39 523 0 26 Jun 2019
Further advantages of data augmentation on convolutional neural networks Alex Hernández-García Peter König 19 107 0 26 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 24 116 0 12 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 25 48 0 09 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
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 36 29 0 05 Jun 2019
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching Hao Wang Qilong Wang Fan Yang Jiexia Ye W. Zuo 16 62 0 02 Jun 2019
On Network Design Spaces for Visual Recognition Ilija Radosavovic Justin Johnson Saining Xie Wan-Yen Lo Piotr Dollár 27 134 0 30 May 2019
Efficient Neural Architecture Search via Proximal Iterations Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu 30 104 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 27 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 14 143 0 28 May 2019