David Dao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Nearest Neighbor

Computationally Intensive

Top Venues

Proc. VLDB Endow.

Publications

Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
Data Debugging with Shapley Importance over Machine Learning Pipelines. ICLR (2024)
Josh Veitch-Michaelis, Andrew Cottam, Daniella Schweizer, Eben N. Broadbent, David Dao, Ce Zhang, Angelica Almeyda Zambrano, Simeon Max
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps. CoRR (2024)
Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR (2023)
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
GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS (2023)
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. AAAI (2022)
Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines. CoRR (2022)
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. CoRR (2022)
Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami
Challenges in KDD and ML for Sustainable Development. KDD (2021)
Ghislain Fourny, David Dao, Can Berker Cikis, Ce Zhang, Gustavo Alonso
RumbleML: program the lakehouse with JSONiq. CoRR (2021)
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Xiaoxiang Zhu, Ce Zhang
Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery. CoRR (2021)
Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR (2021)
Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR (2021)
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
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. CoRR (2021)
Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang
TrueBranch: Metric Learning-based Verification of Forest Conservation Projects. CoRR (2020)
Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. Poly/DMAH@VLDB (2019)
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
Towards Efficient Data Valuation Based on the Shapley Value. AISTATS (2019)
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
Towards Efficient Data Valuation Based on the Shapley Value. CoRR (2019)
Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. CoRR (2019)
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. Proc. VLDB Endow. 12 (11) (2019)
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. CoRR (2019)
Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace. Proc. VLDB Endow. 11 (12) (2018)
Natalie Ang, Doina Bein, David Dao, Luigi Sanchez, Justine Tran, Navie Vurdien
Emotional prosody analysis on human voices. CCWC (2018)
David Dao, Dan Alistarh, Claudiu Musat, Ce Zhang
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation. CoRR (2018)
David Dao, Adam Fraser, Jane Hung, Vebjorn Ljosa, Shantanu Singh, Anne E. Carpenter
CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets. Bioinform. 32 (20) (2016)