Christian Tomani
6 papers · 2021–2024 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
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The Questioner
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Research topics
Deep Learning
(5)
Machine Learning
(5)
Learning Types · Machine Learning
(5)
Application Areas
(3)
Optimization & Theory · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Techniques
(1)
Keywords
domain shift
(3)
uncertainty quantification
(3)
model calibration
(2)
uncertainty estimation
(2)
neural network
(2)
maximum a posteriori
(1)
deep neural network
(1)
node classification
(1)
out-of-distribution detection
(1)
temperature scaling
(1)
uncertainty calibration
(1)
minimum bayes risk
(1)
predictive uncertainty
(1)
overconfident prediction
(1)
post-hoc calibration
(1)
confidence score
(1)
graph neural network
(1)
adversarial calibration
(1)
entropy-encouraging loss
(1)
entropy loss
(1)
Papers
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model
ACL 2024
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
ICML 2023
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
ECCV 2022
What Makes Graph Neural Networks Miscalibrated?
NeurIPS 2022
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios
CVPR 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
AAAI 2021