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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
InstaNAS: Instance-aware Neural Architecture Search A. Cheng Chieh Hubert Lin Da-Cheng Juan Wei Wei Min Sun 73 48 0 26 Nov 2018
Joint Neural Architecture Search and Quantization Yukang Chen Gaofeng Meng Qian Zhang Xinbang Zhang Liangchen Song Shiming Xiang Chunhong Pan MQ 87 29 0 23 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 96 331 0 22 Nov 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans T. Ho-Phuoc 65 42 0 18 Nov 2018
Batch DropBlock Network for Person Re-identification and Beyond Zuozhuo Dai Mingqiang Chen Xiaodong Gu Siyu Zhu Ping Tan OOD 96 247 0 17 Nov 2018
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Yanping Huang Yonglong Cheng Ankur Bapna Orhan Firat Mia Xu Chen ... HyoukJoong Lee Jiquan Ngiam Quoc V. Le Yonghui Wu Zhifeng Chen GNN MoE 52 7 0 16 Nov 2018
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks H. Pan Hui Jiang Xin-Yi Niu Y. Dou 8 4 0 16 Nov 2018
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization Senwei Liang Y. Khoo Haizhao Yang AI4CE 28 1 0 14 Nov 2018
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization Xinbang Zhang Zehao Huang Naiyan Wang 79 94 0 05 Nov 2018
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model Yujia Wang Nhat Ho David J. Miller Anima Anandkumar Michael I. Jordan Richard G. Baraniuk BDL GAN 96 8 0 01 Nov 2018
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 124 917 0 30 Oct 2018
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints Andrew Hundt Varun Jain Chia-Hung Lin Chris Paxton Gregory Hager 76 12 0 27 Oct 2018
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 96 280 0 12 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm Zhichao Lu Ian Whalen Vishnu Boddeti Yashesh D. Dhebar Kalyanmoy Deb E. Goodman W. Banzhaf 87 81 0 08 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 80 34 0 01 Oct 2018
MobileFace: 3D Face Reconstruction with Efficient CNN Regression N. Chinaev A. Chigorin Ivan Laptev CVBM 3DH 63 29 0 24 Sep 2018
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 189 2,003 0 18 Sep 2018
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation István Sárándi Timm Linder Kai O. Arras Bastian Leibe 3DH 68 41 0 13 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 158 125 0 10 Sep 2018
MixUp as Locally Linear Out-Of-Manifold Regularization Hongyu Guo Yongyi Mao Richong Zhang 88 324 0 07 Sep 2018
How Robust is 3D Human Pose Estimation to Occlusion? István Sárándi Timm Linder Kai O. Arras Bastian Leibe 3DH 80 69 0 28 Aug 2018
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation Xinyi Wang Hieu H. Pham Zihang Dai Graham Neubig 85 198 0 22 Aug 2018
Neural Architecture Optimization Renqian Luo Fei Tian Tao Qin Enhong Chen Tie-Yan Liu 3DV 112 659 0 22 Aug 2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation Zhaobai Zhong Zichen Yang Boyang Deng Junjie Yan Wei Wu Jing Shao Cheng-Lin Liu 82 118 0 16 Aug 2018
Automatically designing CNN architectures using genetic algorithm for image classification Yizhou Sun Bing Xue Mengjie Zhang Gary G. Yen 3DV 90 615 0 11 Aug 2018
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets Valentin Vielzeuf Corentin Kervadec S. Pateux Alexis Lechervy F. Jurie 50 49 0 08 Aug 2018
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation M. Jaritz Raoul de Charette É. Wirbel Xavier Perrotton F. Nashashibi 3DPC 3DV MDE 78 268 0 02 Aug 2018
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation Minyoung Chung Jingyu Lee Minkyung Lee Jeongjin Lee Y. Shin MedIm 62 27 0 02 Aug 2018
Acoustic Scene Classification: A Competition Review Shayan Gharib Honain Derrar Daisuke Niizumi Tuukka Senttula Janne Tommola Toni Heittola Tuomas Virtanen H. Huttunen 49 18 0 02 Aug 2018
CAKE: Compact and Accurate K-dimensional representation of Emotion Corentin Kervadec Valentin Vielzeuf S. Pateux Alexis Lechervy F. Jurie 44 29 0 30 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 78 161 0 18 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 139 853 0 17 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 218 1,102 0 04 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 212 4,380 0 24 Jun 2018
Image classification and retrieval with random depthwise signed convolutional neural networks Yunzhe Xue Usman Roshan OOD 23 2 0 15 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States Vikas Verma Alex Lamb Christopher Beckham Amir Najafi Ioannis Mitliagkas Aaron Courville David Lopez-Paz Yoshua Bengio AAML DRL 108 35 0 13 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 111 144 0 11 Jun 2018
Path-Level Network Transformation for Efficient Architecture Search Han Cai Jiacheng Yang Weinan Zhang Song Han Yong Yu 74 211 0 07 Jun 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD FedML ELM 203 414 0 01 Jun 2018
Improved Mixed-Example Data Augmentation Cecilia Summers M. Dinneen 98 161 0 29 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 137 1,777 0 24 May 2018
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition Kuan Han Haiguang Wen Yizhen Zhang Di Fu Eugenio Culurciello Zhongming Liu 75 70 0 19 May 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 86 1,035 0 12 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 238 503 0 24 Apr 2018
Rafiki: Machine Learning as an Analytics Service System Wei Wang Sheng Wang Jinyang Gao Meihui Zhang Gang Chen Teck Khim Ng Beng Chin Ooi 105 113 0 17 Apr 2018
Parallel Grid Pooling for Data Augmentation Akito Takeki Daiki Ikami Go Irie Kiyoharu Aizawa 56 7 0 30 Mar 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 96 71 0 23 Feb 2018
Generalization in Machine Learning via Analytical Learning Theory Kenji Kawaguchi Yoshua Bengio Vikas Verma Leslie Pack Kaelbling 55 10 0 21 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 90 592 0 13 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 137 2,776 0 09 Feb 2018