| Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks | Jun 13, 2024 | Crowd CountingOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Active Subspace of Neural Networks: Structural Analysis and Universal Attacks | Oct 29, 2019 | Adversarial AttackUncertainty Quantification | CodeCode Available | 0 | 5 |
| Flat Posterior Does Matter For Bayesian Model Averaging | Jun 21, 2024 | modelTransfer Learning | CodeCode Available | 0 | 5 |
| Forecasting Local Ionospheric Parameters Using Transformers | Feb 20, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A Kernel-Expanded Stochastic Neural Network | Jan 14, 2022 | ImputationPrediction | CodeCode Available | 0 | 5 |
| FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection | Nov 1, 2024 | ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition | Apr 24, 2023 | class-incremental learningClass Incremental Learning | CodeCode Available | 0 | 5 |
| Fixing Overconfidence in Dynamic Neural Networks | Feb 13, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| Fast Instrument Learning with Faster Rates | May 22, 2022 | Model Selectionregression | CodeCode Available | 0 | 5 |
| Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series data | Sep 13, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation | Jul 14, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Extrapolation-Aware Nonparametric Statistical Inference | Feb 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 | 5 |
| Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs | Apr 18, 2025 | Information RetrievalUncertainty Quantification | CodeCode Available | 0 | 5 |
| Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection | Mar 2, 2024 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification | Mar 31, 2021 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions | Jun 20, 2020 | Decision MakingSequential Decision Making | CodeCode Available | 0 | 5 |
| Expectation consistency for calibration of neural networks | Mar 5, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A Study on the Calibration of In-context Learning | Dec 7, 2023 | In-Context LearningNatural Language Understanding | CodeCode Available | 0 | 5 |
| On double-descent in uncertainty quantification in overparametrized models | Oct 23, 2022 | Binary ClassificationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Active Learning for Deep Gaussian Process Surrogates | Dec 15, 2020 | Active LearningGaussian Processes | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks | Jan 10, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events | Dec 18, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 | 5 |
