Jihyeon Janel Lee

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 7

Top Topics

Automatically Generated

Synthetic Datasets

Machine Learning

Sustainable Development

Top Venues

UIST (Adjunct Volume)

Proc. Natl. Acad. Sci. USA

NeurIPS Datasets and Benchmarks

Publications

Jihyeon Janel Lee, Nina R. Brooks, Fahim Tajwar, Marshall Burke, Stefano Ermon, David B. Lobell, Debashish Biswas, Stephen P. Luby
Scalable deep learning to identify brick kilns and aid regulatory capacity. Proc. Natl. Acad. Sci. USA 118 (17) (2021)
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. CoRR (2021)
Jihyeon Janel Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. AAAI (2021)
Jihyeon Janel Lee, Dylan Grosz, Sicheng Zeng, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
Predicting Livelihood Indicators from Crowdsourced Street Level Images. CoRR (2020)
Jihyeon Janel Lee, Sho Arora
A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop. CoRR (2019)
Jihyeon Janel Lee, Mitchell L. Gordon, Maneesh Agrawala
Automatically Visualizing Audio Travel Podcasts. UIST (Adjunct Volume) (2017)