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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Evidential Conditional Neural Processes AAAI 2023
Predictive Multiplicity in Probabilistic Classification AAAI 2023
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion AAAI 2023
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023
Revisiting inference after prediction JMLR 2023
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023
Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning AAAI 2023
Conformalized Unconditional Quantile Regression AISTATS 2023
A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles AISTATS 2023
Improving Expert Predictions with Conformal Prediction ICML 2023
Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition INTERSPEECH 2023
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System INTERSPEECH 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration ICML 2023
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data ICML 2023
Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023
Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023
Sequential Predictive Conformal Inference for Time Series ICML 2023
Conformal Prediction with Missing Values ICML 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models ICCV 2023
Guided Deep Kernel Learning UAI 2023