David Dao - RankMe

26 papers A* 6A 2Journal 15Unranked 2

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