AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation

10 March 2021

Papers citing "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

4 / 4 papers shown

Title
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
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 28 30 0 10 Feb 2023
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 20 39 0 14 Jun 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 32 3 0 25 May 2022