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Papers
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint)
IJCAI 2025
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
ICML 2025
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
CLeaR 2024
Monitoring machine learning-based risk prediction algorithms in the presence of performativity
AISTATS 2024
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap
AAAI 2023
Window-Based Distribution Shift Detection for Deep Neural Networks
NeurIPS 2023
Test for non-negligible adverse shifts
UAI 2022
Portable, layer-wise task performance monitoring for NLP models
EMNLP 2018