62
Publications
3.4K
Citations
30
H-Index
2014
Active since
Affiliations
Christopher De is an author at Stanford University specializing in engineering, computer science, and machine learning.
Top concepts
EngineeringComputer ScienceMachine LearningData ScienceDeep LearningComputer EngineeringParallel ComputingComputer ArchitectureParallel ProgrammingKnowledge Discovery
Publications per year
2014–2024
62
62
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner, Christopher De, Sen Wu et al. · arXiv (Cornell University) · 2016 · 359 citations · Full text
Artificial Intelligence, Structured Prediction, Training Sets +19
Incremental knowledge base construction using DeepDive
Jaeho Shin, Sen Wu, Feiran Wang et al. · Proceedings of the VLDB Endowment · 2015 · 235 citations · Full text
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De, Albert Gu, Christopher Ré et al. · arXiv (Cornell University) · 2018 · 188 citations · Full text
Data Programming: Creating Large Training Sets, Quickly.
Alexander Ratner, Christopher De, Sen Wu et al. · PubMed · 2016 · 177 citations · Full text
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