Deep AutoAugment

Deep AutoAugment

11 March 2022

Papers citing "Deep AutoAugment"

17 / 17 papers shown

Title
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 44 3 0 01 May 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 38 48 0 18 Mar 2024
SF(DA) $^2$ : Source-free Domain Adaptation Through the Lens of Data Augmentation Uiwon Hwang Jonghyun Lee Juhyeon Shin Sungroh Yoon 28 10 0 16 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 62 5 0 13 Mar 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training Huayi Zhou Mukun Luo Fei Jiang Yue Ding Hongtao Lu Kui Jia 44 0 0 18 Feb 2024
Understanding the Detrimental Class-level Effects of Data Augmentation Polina Kirichenko Mark Ibrahim Randall Balestriero Diane Bouchacourt Ramakrishna Vedantam Hamed Firooz Andrew Gordon Wilson 39 12 0 07 Dec 2023
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection Tengyang Chen Jiangtao Ren GAN 24 4 0 13 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Tianyi Zhou 27 15 0 09 Sep 2023
Unsupervised augmentation optimization for few-shot medical image segmentation Quan Quan Shang Zhao Qingsong Yao Heqin Zhu S. Kevin Zhou 29 1 0 08 Jun 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 24 1 0 04 May 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 10 6 0 22 Feb 2023
RangeAugment: Efficient Online Augmentation with Range Learning Sachin Mehta Saeid Naderiparizi Fartash Faghri Maxwell Horton Lailin Chen Ali Farhadi Oncel Tuzel Mohammad Rastegari 24 6 0 20 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 23 1 0 09 Dec 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances Ning Miao Tom Rainforth Emile Mathieu Yann Dubois Yee Whye Teh Adam Foster Hyunjik Kim 29 10 0 31 May 2022
SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks Arnaud Deleruyelle J. Klein Cristian Versari OOD 16 0 0 07 Feb 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 209 487 0 01 Oct 2021