Ekin D. Cubuk

Publications by Year

Research Areas

Machine Learning in Materials Science, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Material Dynamics and Properties, Adversarial Robustness in Machine Learning

Most-Cited Works

• → SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition(2019)3,438 cited
• → AutoAugment: Learning Augmentation Strategies From Data(2019)2,661 cited
• → FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence(2020)2,264 cited
• → Scaling deep learning for materials discovery(2023)1,040 cited
• → AutoAugment: Learning Augmentation Policies from Data(2018)732 cited
• → An autonomous laboratory for the accelerated synthesis of inorganic materials(2023)712 cited
• → AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty(2019)566 cited