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