Chris Ying

A linear speedup analysis of distributed deep learning with sparse and quantized communication

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Machine learning in agriculture domain: A state-of-art survey

Text Data Augmentation for Deep Learning

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

AutoML: A survey of the state-of-the-art

Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence

Physics-informed machine learning

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance

Don't decay the learning rate, increase the batch size

NAS-Bench-101: Towards Reproducible Neural Architecture Search