AutoAugment: Learning Augmentation Policies from Data

24 May 2018

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

50 / 351 papers shown

Title
Deep learning for cardiac image segmentation: A review Chia-Ju Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 674 0 09 Nov 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric P. Xing 24 116 0 28 Oct 2019
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network Ibrahim Saad Ali Mamdouh Farouk Mohamed Y. B. Mahdy GAN MedIm 20 119 0 25 Oct 2019
Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam HyunJae Lee Jongchan Park Wonjun Yoon Donggeun Yoo 25 61 0 25 Oct 2019
How can AI Automate End-to-End Data Science? Charu C. Aggarwal Djallel Bouneffouf Horst Samulowitz Beat Buesser T. Hoang ... Tejaswini Pedapati Parikshit Ram Ambrish Rawat Martin Wistuba Alexander G. Gray 88 14 0 22 Oct 2019
Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning K. Nguyen Cherise R. Chin Fatt A. Treacher C. Mellema M. Trivedi A. Montillo MedIm 21 28 0 17 Oct 2019
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data N. Gessert M. Nielsen M. Shaikh R. Werner Alexander Schlaefer 21 255 0 09 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 93 3,416 0 30 Sep 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks Tong Niu Joey Tianyi Zhou 21 39 0 27 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
DARTS+: Improved Differentiable Architecture Search with Early Stopping Hanwen Liang Shifeng Zhang Jiacheng Sun Xingqiu He Weiran Huang Kechen Zhuang Zhenguo Li 22 287 0 13 Sep 2019
Overton: A Data System for Monitoring and Improving Machine-Learned Products Christopher Ré Feng Niu Pallavi Gudipati Charles Srisuwananukorn AI4TS 8 46 0 07 Sep 2019
Dialog State Tracking with Reinforced Data Augmentation Yichun Yin Lifeng Shang Xin Jiang Xiao Chen Qun Liu OffRL 11 25 0 21 Aug 2019
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search Xiangxiang Chu Bo-Wen Zhang Qingyuan Li Ruijun Xu Xudong Li 26 24 0 16 Aug 2019
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation Tom Bruls Horia Porav Lars Kunze Paul Newman 13 6 0 10 Jul 2019
Improving short text classification through global augmentation methods Vukosi Marivate T. Sefara VLM 24 95 0 07 Jul 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
Fixing the train-test resolution discrepancy Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou 52 420 0 14 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 12 48 0 09 Jun 2019
Using learned optimizers to make models robust to input noise Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Narain Sohl-Dickstein E. D. Cubuk VLM OOD 17 26 0 08 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
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training Jan Laermann Wojciech Samek Nils Strodthoff OOD 24 15 0 03 Jun 2019
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez Risto Miikkulainen 22 75 0 27 May 2019
Soft Contextual Data Augmentation for Neural Machine Translation Jinhua Zhu Fei Gao Lijun Wu Yingce Xia Tao Qin Wen-gang Zhou Xueqi Cheng Tie-Yan Liu 19 125 0 25 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 58 1,415 0 22 May 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Hervé Jégou Kan Chen Manohar Paluri D. Mahajan SSL 36 458 0 02 May 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Kai Wang CVBM 15 130 0 26 Apr 2019
Attention Augmented Convolutional Networks Irwan Bello Barret Zoph Ashish Vaswani Jonathon Shlens Quoc V. Le 34 999 0 22 Apr 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
Deep Neural Network Ensembles S. Tao OOD FaML UQCV 19 37 0 11 Apr 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 39 29 0 28 Mar 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search Andrew Hundt Varun Jain Gregory Hager OOD 30 66 0 23 Mar 2019
Neural Packet Classification Eric Liang Hang Zhu Xin Jin Ion Stoica OffRL 35 120 0 27 Feb 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Hervé Jégou Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 15 110 0 14 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 40 1,657 0 13 Feb 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise Nic Ford Justin Gilmer Nicholas Carlini E. D. Cubuk AAML 24 318 0 29 Jan 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
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 18 225 0 20 Jan 2019
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks Mohamed Yousef K. Hussain U. S. Mohammed 3DV 18 124 0 31 Dec 2018
On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 21 10 0 12 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 15 659 0 06 Dec 2018
Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images Danilo Barros Mendes Nilton Correia da Silva MedIm 22 46 0 06 Dec 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 17 326 0 22 Nov 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,370 0 19 Sep 2018
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective W. Zhou Alex Zyner Stewart Worrall E. Nebot 22 21 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 24 123 0 10 Sep 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 82 1,309 0 23 May 2018
A Kernel Theory of Modern Data Augmentation Tri Dao Albert Gu Alexander J. Ratner Virginia Smith Christopher De Sa Christopher Ré 21 190 0 16 Mar 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 51 26,038 0 05 Sep 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016