Search Results for author: Erik Rozi

Found 4 papers, 1 papers with code

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

1 code implementation8 Nov 2021 Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Lee, Marshall Burke, David B. Lobell, Stefano Ermon

Our goals for SustainBench are to (1) lower the barriers to entry for the machine learning community to contribute to measuring and achieving the SDGs; (2) provide standard benchmarks for evaluating machine learning models on tasks across a variety of SDGs; and (3) encourage the development of novel machine learning methods where improved model performance facilitates progress towards the SDGs.

BIG-bench Machine Learning

Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need

no code implementations SEMEVAL 2021 Patrick Liu, Niveditha Iyer, Erik Rozi, Ethan A. Chi

This paper presents our system for the Quantity span identification, Unit of measurement identification and Value modifier classification subtasks of the MeasEval 2021 task.

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