Yonatan Geifman
6 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (16) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 👑 Triple Crown
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Mega-Team · Squad
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Venues
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Research topics
Keywords
deep neural network
(4)
neural architecture search
(2)
selective prediction
(2)
reject option
(2)
uncertainty estimation
(1)
end-to-end training
(1)
confidence estimation
(1)
model monitoring
(1)
deep neural classifier
(1)
risk control
(1)
input distribution
(1)
snapshot ensemble
(1)
risk coverage tradeoff
(1)
error guarantee
(1)
distribution shift detection
(1)
querying mechanism
(1)
benchmark accuracies
(1)
blockwise local knowledge distillation
(1)
inference throughput speedup
(1)
active learning
(1)
Papers
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
ICML 2025
Window-Based Distribution Shift Detection for Deep Neural Networks
NeurIPS 2023
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
ICLR 2019
Deep Active Learning with a Neural Architecture Search
NeurIPS 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
ICML 2019
Selective Classification for Deep Neural Networks
NeurIPS 2017