Few-shot classification via efficient meta-learning with hybrid optimization

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato et al. · 2014 · 6.5K citations

Convolutional Neural Network, Engineering, Machine Learning +18

Prototypical Networks for Few-shot Learning

Jake Snell, Kevin Swersky, Richard S. Zemel · arXiv (Cornell University) · 2017 · 5.2K citations · Full text

Artificial Intelligence, Few-shot Learning, Engineering +13

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

Sangdoo Yun, Dongyoon Han, Sanghyuk Chun et al. · 2019 · 4.5K citations

Regional Dropout, Convolutional Neural Network, Engineering +20

Random Erasing Data Augmentation

Zhun Zhong, Liang Zheng, Guoliang Kang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 2.8K citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Improved Regularization of Convolutional Neural Networks with Cutout

Terrance DeVries, Graham W. Taylor · arXiv (Cornell University) · 2017 · 2.7K citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16