Improved Regularization of Convolutional Neural Networks with Cutout

15 August 2017

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

48 / 798 papers shown

Title
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search Youhei Akimoto Shinichi Shirakawa Nozomu Yoshinari Kento Uchida Shota Saito K. Nishida 27 86 0 21 May 2019
Multinomial Distribution Learning for Effective Neural Architecture Search Xiawu Zheng Rongrong Ji Lang Tang Baochang Zhang Jianzhuang Liu Q. Tian 25 88 0 18 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 400 4,694 0 13 May 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 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 34 198 0 24 Apr 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search Andrew Hundt Varun Jain Gregory Hager OOD 30 66 0 23 Mar 2019
Convolution with even-sized kernels and symmetric padding Shuang Wu Guanrui Wang Pei Tang F. Chen Luping Shi 22 68 0 20 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 27 164 0 07 Mar 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 35 74 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 12 673 0 25 Feb 2019
Evaluating the Search Phase of Neural Architecture Search Kaicheng Yu C. Sciuto Martin Jaggi C. Musat Mathieu Salzmann 20 343 0 21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 36 718 0 20 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 40 1,665 0 13 Feb 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 30 72 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 19 231 0 26 Jan 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 32 226 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 39 24 0 17 Jan 2019
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 48 715 0 12 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 54 661 0 06 Dec 2018
Dense xUnit Networks I. Kligvasser T. Michaeli 21 3 0 27 Nov 2018
InstaNAS: Instance-aware Neural Architecture Search A. Cheng Chieh Hubert Lin Da-Cheng Juan Wei Wei Min Sun 30 46 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 30 29 0 23 Nov 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
Batch DropBlock Network for Person Re-identification and Beyond Zuozhuo Dai Mingqiang Chen Xiaodong Gu Siyu Zhu Ping Tan OOD 16 246 0 17 Nov 2018
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 19 273 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 34 81 0 08 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 29 34 0 01 Oct 2018
MobileFace: 3D Face Reconstruction with Efficient CNN Regression N. Chinaev A. Chigorin Ivan Laptev CVBM 3DH 21 29 0 24 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 26 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 29 123 0 10 Sep 2018
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation Xinyi Wang Hieu H. Pham Zihang Dai Graham Neubig 21 195 0 22 Aug 2018
Automatically designing CNN architectures using genetic algorithm for image classification Yizhou Sun Bing Xue Mengjie Zhang Gary G. Yen 3DV 32 603 0 11 Aug 2018
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation Minyoung Chung Jingyu Lee Minkyung Lee Jeongjin Lee Y. Shin MedIm 27 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 30 18 0 02 Aug 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 33 841 0 17 Jul 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 32 141 0 11 Jun 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
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
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition Kuan Han Haiguang Wen Yizhen Zhang Di Fu Eugenio Culurciello Zhongming Liu 30 70 0 19 May 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 36 1,026 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
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 35 71 0 23 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 43 582 0 13 Feb 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 129 26,077 0 05 Sep 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012