D. Sculley
7 papers · 2013–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
π
Trend Setter
β
The Questioner
π
Conference Pioneer
Top co-authors
Research topics
Keywords
domain generalization
(1)
benchmark suite
(1)
model calibration
(1)
model evaluation
(1)
randomized rounding
(1)
keyword spotting
(1)
speaker verification
(1)
large-scale learning
(1)
distribution shift
(1)
software engineering
(1)
dataset shift
(1)
learning rate
(1)
random projection
(1)
memory efficiency
(1)
data quality
(1)
system design
(1)
model deployment
(1)
dataset benchmark
(1)
predictive uncertainty
(1)
online learning
(1)
Papers
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
ICML 2025
DataPerf: Benchmarks for Data-Centric AI Development
NeurIPS 2023
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks
Interspeech 2021
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
NeurIPS 2019
Hidden Technical Debt in Machine Learning Systems
NeurIPS 2015
Large-Scale Learning with Less RAM via Randomization
ICML 2013