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2020 – today
- 2024
[c9]Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang:
Data Debugging with Shapley Importance over Machine Learning Pipelines. ICLR 2024- [i12]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 abs/2407.11743 (2024) - 2023
- [b1]David Dao:
Advancing Algorithms and Applications for Data Valuation in Machine Learning. ETH Zurich, Zürich, Switzerland, 2023 - [c8]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 - [i11]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 abs/2306.03831 (2023) - 2022
- [c7]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: 12119-12125 - [i10]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 abs/2201.11192 (2022) - [i9]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 abs/2204.11131 (2022) - 2021
- [c6]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:
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR 2021 - [c5]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: 8239-8247 - [c4]Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami:
Challenges in KDD and ML for Sustainable Development. KDD 2021: 4031-4032 - [i8]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 abs/2107.11320 (2021) - [i7]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 abs/2112.00570 (2021) - [i6]Ghislain Fourny, David Dao, Can Berker Cikis, Ce Zhang, Gustavo Alonso:
RumbleML: program the lakehouse with JSONiq. CoRR abs/2112.12638 (2021) - 2020
- [i5]Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang:
TrueBranch: Metric Learning-based Verification of Forest Conservation Projects. CoRR abs/2004.09725 (2020)
2010 – 2019
- 2019
- [j3]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): 1610-1623 (2019) - [c3]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: 1167-1176 - [c2]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: 3-23 - [i4]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 abs/1902.10275 (2019) - [i3]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 abs/1908.08619 (2019) - [i2]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 abs/1909.00077 (2019) - 2018
- [j2]Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song:
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace. Proc. VLDB Endow. 11(12): 2086-2089 (2018) - [c1]Natalie Ang, Doina Bein, David Dao, Luigi Sanchez, Justine Tran, Navie Vurdien:
Emotional prosody analysis on human voices. CCWC 2018: 737-741 - [i1]David Dao, Dan Alistarh, Claudiu Musat, Ce Zhang:
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation. CoRR abs/1802.04780 (2018) - 2016
- [j1]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): 3210-3212 (2016)
Coauthor Index
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last updated on 2024-08-28 22:33 CEST by the dblp team
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