David Dao
6 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
❓
The Questioner
Conferences
NIPS (2)
AAAI (1)
AISTATS (1)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
remote sensing
(3)
data valuation
(2)
semantic segmentation
(2)
aerial imagery
(2)
shapley value
(2)
scalability
(1)
utility quantification
(1)
instance segmentation
(1)
deep learning
(1)
data summarization
(1)
k-nearest neighbor
(1)
approximation algorithm
(1)
foundation model
(1)
training datum
(1)
satellite imagery
(1)
cooperative game theory
(1)
leave-one-out error
(1)
tree detection
(1)
high-resolution imagery
(1)
tree crown delineation
(1)
Papers
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps
NIPS 2024
Data Debugging with Shapley Importance over Machine Learning Pipelines
ICLR 2024
GEO-Bench: Toward Foundation Models for Earth Monitoring
NIPS 2023
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
AAAI 2022
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
CVPR 2021
Towards Efficient Data Valuation Based on the Shapley Value
AISTATS 2019