The following pages link to mixup (Q51559):
Displaying 14 items.
- How to construct low-altitude aerial image datasets for deep learning (Q1981016) (← links)
- Generative adversarial network based data augmentation to improve cervical cell classification model (Q1981104) (← links)
- Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training (Q2051310) (← links)
- Lipschitzness is all you need to tame off-policy generative adversarial imitation learning (Q2163202) (← links)
- A survey on semi-supervised learning (Q2303675) (← links)
- Drop-activation: implicit parameter reduction and harmonious regularization (Q2667354) (← links)
- Imperfect imaGANation: implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses (Q2667840) (← links)
- On the benefits of representation regularization in invariance based domain generalization (Q2673317) (← links)
- Improving deep label noise learning with dual active label correction (Q2673328) (← links)
- Confident Learning: Estimating Uncertainty in Dataset Labels (Q4989326) (← links)
- Partial differential equation regularization for supervised machine learning (Q4998637) (← links)
- Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation (Q5117885) (← links)
- Deep Learning for Image/Video Restoration and Super-resolution (Q5863770) (← links)
- Computer vision. Algorithms and applications (Q5918475) (← links)
