dodant/awesome-autoaugment

Awesome-AutoAugment

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Contents

• Publications
  • Papers
  • arXiv

Publications

Papers

2022

• Deep AutoAugment (ICLR) [paper / code]
• GA3N: Generative adversarial AutoAugment network (PR) [paper]

2021

• AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation (CVPR) [paper / code]
• Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm (AAAI) [paper]
• Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification (EMNLP) [paper / code]

2020

• Differentiable Automatic Data Augmentation (ECCV) [paper / code]
• Greedy AutoAugment (PR Letter) [paper / code]
• Improving Auto-Augment via Augmentation-Wise Weight Sharing (NeurlPS) [paper]
• Learning Data Augmentation Strategies for Object Detection (ECCV) [paper]

2019

• AutoAugment: Learning Augmentation Strategies from Data (CVPR) [paper]
• Fast AutoAugment (NeurlPS) [paper / code]
• Faster AutoAugment: Learning Augmentation Strategies from Backpropagation (ECCV) [paper]
• Online Hyper-parameter Learning for Auto-Augmentation Strategy (ICCV) [paper]
• Adversarial AutoAugment (ICLR) [paper]
• Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules (ICML) [paper]

arXiv

• Local Patch AutoAugment with Multi-Agent Collaboration (2021) [paper]
• UniformAugment: A search-free probabilistic data augmentation approach (2020) [paper]