David Dao
6 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🧭
Keyword Pioneer
❓
The Questioner
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Application Areas · Machine Learning
(4)
Computer Vision
(3)
Domain-Specific
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Analysis
(2)
Core AI
(2)
Application Areas · Deep Learning
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Processing
(1)
Keywords
remote sensing
(3)
shapley value
(3)
semantic segmentation
(2)
aerial imagery
(2)
data valuation
(2)
data importance
(2)
utility quantification
(1)
instance segmentation
(1)
deep learning
(1)
data summarization
(1)
k-nearest neighbor
(1)
approximation algorithm
(1)
foundation model
(1)
training data
(1)
satellite imagery
(1)
cooperative game theory
(1)
leave-one-out error
(1)
monte carlo
(1)
tree detection
(1)
machine learning pipeline
(1)
Papers
Data Debugging with Shapley Importance over Machine Learning Pipelines
ICLR 2024
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps
NeurIPS 2024
GEO-Bench: Toward Foundation Models for Earth Monitoring
NeurIPS 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