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David Dao

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

7

Active years

2019–2024

Best venue rank

A*

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2024ICLRData Debugging with Shapley Importance over Machine Learning Pipelines.Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
2022AAAIReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery.Gyri Reiersen, David Dao, Bjrn Ltjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
2021CIDREase.ML: A Lifecycle Management System for Machine Learning.Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Grel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cdric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
2021CVPRScalability 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
2021KDDChallenges in KDD and ML for Sustainable Development.Laure Berti-quille, David Dao, Stefano Ermon, Bedharta Goswami
2019AISTATSTowards Efficient Data Valuation Based on the Shapley Value.Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Grel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
2019VLDBData 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