Sang Michael Xie is an author at Stanford University specializing in engineering, data science, and machine learning.
Top concepts
EngineeringData ScienceMachine LearningDeep LearningComputer SciencePattern RecognitionArtificial IntelligenceLanguageLinguisticsMachine Translation
Publications per year
2015–2023
19
19
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli et al. · arXiv (Cornell University) · 2021 · 2.1K citations · Full text
Combining satellite imagery and machine learning to predict poverty
Neal Jean, Marshall Burke, Sang Michael Xie et al. · Science · 2016 · 1.6K citations
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
Sherrie Wang, William Chen, Sang Michael Xie et al. · Remote Sensing · 2020 · 236 citations · Full text
Convolutional Neural Network, Engineering, Machine Learning +20
Adversarial Training Can Hurt Generalization
Aditi Raghunathan, Sang Michael Xie, Fanny Yang et al. · arXiv (Cornell University) · 2019 · 144 citations · Full text
Artificial Intelligence, Robust Accuracy, Optimal Predictor +12
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