Sam Stern
2022
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sam Stern trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sam Stern overall
Papers from Sam Stern's perspective
Ordered by how strongly the researchers Sam Stern trusts endorse each paper. Same corpus, a different order for every researcher.
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- TensorFlow: A system for large-scale machine learning
- Vega-Lite: A Grammar of Interactive Graphics
- Scikit-learn: Machine Learning in Python
- Guide to NumPy
- Quantifying the performance of garbage collection vs. explicit memory management
- Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
- Julia: A Fresh Approach to Numerical Computing
- ImageNet Large Scale Visual Recognition Challenge
- cuDNN: Efficient Primitives for Deep Learning
Their papers
- Triangulating Python Performance Issues with Scalene (2022) — 26 citations