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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"

50 / 1,908 papers shown

Title
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 83 405 0 14 May 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search Hongpeng Zhou Minghao Yang Jun Wang Wei Pan BDL 97 202 0 13 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 635 4,824 0 13 May 2019
Dynamic Routing Networks Shaofeng Cai Yao Shu Wei Wang Beng Chin Ooi 50 3 0 13 May 2019
EENA: Efficient Evolution of Neural Architecture Hui Zhu Zhulin An Chuanguang Yang Kaiqiang Xu Erhu Zhao Yongjun Xu 3DV 101 39 0 10 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 197 3,042 0 06 May 2019
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks Chunxu Zhang Jiaxu Cui Bo Yang 59 3 0 06 May 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 100 259 0 04 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 118 601 0 01 May 2019
Harmonic Networks with Limited Training Samples Matej Ulicny V. Krylov Rozenn Dahyot 85 17 0 30 Apr 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 148 2,330 0 29 Apr 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation Xin Chen Lingxi Xie Jun Wu Qi Tian AI4TS MQ 85 667 0 29 Apr 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 80 150 0 25 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 118 203 0 24 Apr 2019
Stochastic Region Pooling: Make Attention More Expressive Mingnan Luo Guihua Wen Yang Hu Dan Dai Yingxue Xu 47 6 0 22 Apr 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Daniel S. Park William Chan Yu Zhang Chung-Cheng Chiu Barret Zoph E. D. Cubuk Quoc V. Le VLM 194 3,476 0 18 Apr 2019
GradMask: Reduce Overfitting by Regularizing Saliency B. Simpson Francis Dutil Yoshua Bengio Joseph Paul Cohen MedIm 68 24 0 16 Apr 2019
Implicit Pairs for Boosting Unpaired Image-to-Image Translation Y. Ginger Dov Danon Hadar Averbuch-Elor Daniel Cohen-Or 64 2 0 15 Apr 2019
Intra-Ensemble in Neural Networks Yuan Gao Zixiang Cai Chen Sun FedML UQCV 45 5 0 09 Apr 2019
ASAP: Architecture Search, Anneal and Prune Asaf Noy Niv Nayman T. Ridnik Nadav Zamir Sivan Doveh Itamar Friedman Raja Giryes Lihi Zelnik-Manor 84 103 0 08 Apr 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search Andrew Hundt Varun Jain Gregory Hager OOD 80 67 0 23 Mar 2019
Convolution with even-sized kernels and symmetric padding Shuang Wu Guanrui Wang Pei Tang F. Chen Luping Shi 49 69 0 20 Mar 2019
Learning to Augment Synthetic Images for Sim2Real Policy Transfer Alexander Pashevich Robin Strudel Igor Kalevatykh Ivan Laptev Cordelia Schmid 62 45 0 18 Mar 2019
Improving Neural Architecture Search Image Classifiers via Ensemble Learning Vladimir Macko Charles Weill Hanna Mazzawi J. Gonzalvo 50 17 0 14 Mar 2019
Inductive Transfer for Neural Architecture Optimization Martin Wistuba Tejaswini Pedapati 50 9 0 08 Mar 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 97 164 0 07 Mar 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 106 75 0 26 Feb 2019
Learning Implicitly Recurrent CNNs Through Parameter Sharing Pedro H. P. Savarese Michael Maire 92 70 0 26 Feb 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 100 688 0 25 Feb 2019
Evaluating the Search Phase of Neural Architecture Search Kaicheng Yu C. Sciuto Martin Jaggi C. Musat Mathieu Salzmann 110 344 0 21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 99 727 0 20 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 138 1,732 0 13 Feb 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 78 124 0 09 Feb 2019
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search Guillaume Michel M. Alaoui A. Lebois Amal Feriani Mehdi Felhi 3DV 48 9 0 05 Feb 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 118 76 0 27 Jan 2019
Fixup Initialization: Residual Learning Without Normalization Hongyi Zhang Yann N. Dauphin Tengyu Ma ODL AI4CE 102 351 0 27 Jan 2019
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification Tao Hu H. Qi Qingming Huang Yan Lu 72 235 0 26 Jan 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 105 228 0 20 Jan 2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search Jiemin Fang Yukang Chen Xinbang Zhang Qian Zhang Chang Huang Gaofeng Meng Wenyu Liu Xinggang Wang 80 24 0 17 Jan 2019
SNAS: Stochastic Neural Architecture Search Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin 97 940 0 24 Dec 2018
IRLAS: Inverse Reinforcement Learning for Architecture Search Minghao Guo Zhaobai Zhong Wei Wu Dahua Lin Junjie Yan 3DV 92 37 0 13 Dec 2018
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 204 744 0 12 Dec 2018
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search Kevin Laube A. Zell UQCV 60 10 0 07 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 141 677 0 06 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 116 1,878 0 02 Dec 2018
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Bichen Wu Yanghan Wang Peizhao Zhang Yuandong Tian Peter Vajda Kurt Keutzer MQ 78 274 0 30 Nov 2018
Adversarial Examples as an Input-Fault Tolerance Problem A. Galloway A. Golubeva Graham W. Taylor SILM AAML 38 0 0 30 Nov 2018
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs Zhourong Chen Yang Li Samy Bengio Si Si 103 99 0 27 Nov 2018
Dense xUnit Networks I. Kligvasser T. Michaeli 92 3 0 27 Nov 2018
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming Yiheng Zhu Yichen Yao Zili Wu Yujie Chen Guozheng Li Haoyuan Hu Yinghui Xu 48 6 0 26 Nov 2018