David Dao

According to our database, David Dao authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OAM-TCD: A globally diverse dataset of high-resolution tree cover maps.

Josh Veitch-Michaelis, Andrew Cottam, Daniella Schweizer, Eben N. Broadbent, David Dao, Ce Zhang, Angelica Almeyda Zambrano, Simeon Max

CoRR, 2024

Data Debugging with Shapley Importance over Machine Learning Pipelines.

Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Advancing Algorithms and Applications for Data Valuation in Machine Learning.

David Dao

PhD thesis, 2023

GEO-Bench: Toward Foundation Models for Earth Monitoring.

Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang

CoRR, 2022

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

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RumbleML: program the lakehouse with JSONiq.

Ghislain Fourny, David Dao, Can Berker Cikis, Ce Zhang, Gustavo Alonso

CoRR, 2021

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

Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez

CoRR, 2021

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

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

CoRR, 2021

Challenges in KDD and ML for Sustainable Development.

Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

TrueBranch: Metric Learning-based Verification of Forest Conservation Projects.

Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang

CoRR, 2020

2019

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.

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

Proc. VLDB Endow., 2019

Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations.

Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2019

Towards Efficient Data Valuation Based on the Shapley Value.

Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Demonstration of Sterling: A Privacy-Preserving Data Marketplace.

Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song

Proc. VLDB Endow., 2018

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

David Dao, Dan Alistarh, Claudiu Musat, Ce Zhang

CoRR, 2018

Emotional prosody analysis on human voices.

Natalie Ang, Doina Bein, David Dao, Luigi Sanchez, Justine Tran, Navie Vurdien

Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

2016

CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets.

David Dao, Adam Fraser, Jane Hung, Vebjorn Ljosa, Shantanu Singh, Anne E. Carpenter

Bioinform., 2016