AutoAugment: Learning Augmentation Policies from Data

24 May 2018

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

50 / 256 papers shown

Title
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 6 3 0 16 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 329 53 0 09 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 23 220 0 06 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 900 0 02 Mar 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks Yehui Tang Yunhe Wang Yixing Xu Boxin Shi Chao Xu Chunjing Xu Chang Xu 6 38 0 23 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 6 56 0 20 Feb 2020
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 4 28 0 13 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 12 115 0 13 Feb 2020
Machine-Learning-Based Diagnostics of EEG Pathology Lukas A. W. Gemein R. Schirrmeister P. Chrabaszcz Daniel Wilson Joschka Boedecker A. Schulze-Bonhage Frank Hutter T. Ball 8 153 0 11 Feb 2020
CIFAR-10 Image Classification Using Feature Ensembles F. Giuste J. Vizcarra VLM 6 19 0 07 Feb 2020
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network Jungkyu Lee Taeryun Won Tae Kwan Lee Hyemin Lee Geonmo Gu K. Hong 26 57 0 17 Jan 2020
MixPath: A Unified Approach for One-shot Neural Architecture Search Xiangxiang Chu Shun Lu Xudong Li Bo-Wen Zhang 19 21 0 16 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 33 23 0 16 Jan 2020
Improving Image Autoencoder Embeddings with Perceptual Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 15 33 0 10 Jan 2020
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search Muyuan Fang Qiang-qiang Wang Zhaobai Zhong OOD 8 9 0 24 Dec 2019
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Andrew Zhang Zhaobai Zhong AAML 12 196 0 24 Dec 2019
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild Xin Chen Lingxi Xie Jun Wu Qi Tian 11 93 0 23 Dec 2019
AtomNAS: Fine-Grained End-to-End Neural Architecture Search Jieru Mei Yingwei Li Xiaochen Lian Xiaojie Jin Linjie Yang Alan Yuille Jianchao Yang 14 107 0 20 Dec 2019
Data Augmentation for Deep Learning-based Radio Modulation Classification Liang Huang Weijian Pan You Zhang L. Qian Nan Gao Yuan Wu 17 133 0 06 Dec 2019
Deep learning for cardiac image segmentation: A review C. L. P. Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 53 673 0 09 Nov 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric P. Xing 11 116 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 12 119 0 25 Oct 2019
Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam HyunJae Lee Jongchan Park Wonjun Yoon Donggeun Yoo 20 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 69 14 0 22 Oct 2019
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data N. Gessert M. Nielsen M. Shaikh R. Werner Alexander Schlaefer 11 255 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 10 3,412 0 30 Sep 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks Tong Niu Mohit Bansal 16 39 0 27 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 36 348 0 25 Sep 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 18 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 11 6 0 10 Jul 2019
Improving short text classification through global augmentation methods Vukosi Marivate T. Sefara VLM 9 95 0 07 Jul 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Tsung-Yi Lin Jonathon Shlens Quoc V. Le 25 523 0 26 Jun 2019
Fixing the train-test resolution discrepancy Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou 18 420 0 14 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 10 204 0 06 Jun 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 11 125 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 17 1,415 0 22 May 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Shiguo Lian CVBM 13 129 0 26 Apr 2019
Attention Augmented Convolutional Networks Irwan Bello Barret Zoph Ashish Vaswani Jonathon Shlens Quoc V. Le 13 998 0 22 Apr 2019
Deep Neural Network Ensembles S. Tao OOD FaML UQCV 11 37 0 11 Apr 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 23 29 0 28 Mar 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search Andrew Hundt Varun Jain Gregory Hager OOD 20 66 0 23 Mar 2019
Neural Packet Classification Eric Liang Hang Zhu Xin Jin Ion Stoica OffRL 19 120 0 27 Feb 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Hervé Jégou Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 11 110 0 14 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 34 1,648 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 11 318 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 17 72 0 27 Jan 2019
On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 13 10 0 12 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 8 658 0 06 Dec 2018
Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images Danilo Barros Mendes Nilton Correia da Silva MedIm 8 46 0 06 Dec 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 25 1,368 0 19 Sep 2018