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Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines


Apr 26, 2022
Bojan Karlaš, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang

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ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery


Jan 26, 2022
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu

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* Accepted paper for the AI for Social Impact Track at the AAAI 2022 

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Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark


Dec 01, 2021
Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodriguez, David Vazquez

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Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery


Aug 19, 2021
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Xiaoxiang Zhu, Ce Zhang

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* Spotlight talk at the Tackling Climate Change with Machine Learning workshop at the ICML 2021 https://www.climatechange.ai/papers/icml2021/79 

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TrueBranch: Metric Learning-based Verification of Forest Conservation Projects


Apr 21, 2020
Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang

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* *Authors have contributed equally. Published as Spotlight Presentation at ICLR 2020 Workshop on Tackling Climate Change with Machine Learning 

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Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms


Sep 11, 2019
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gurel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song

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* PVLDB, 12(11): 1610-1623, 2019 

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Towards Efficient Data Valuation Based on the Shapley Value


Feb 27, 2019
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gurel, Bo Li, Ce Zhang, Dawn Song, Costas Spanos

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DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation


Feb 13, 2018
David Dao, Dan Alistarh, Claudiu Musat, Ce Zhang

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