Co-occurring keywords · papers mentioning both
Papers
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
NeurIPS 2023
Explaining the Uncertainty in AI-Assisted Decision Making
AAAI 2023
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
CVPR 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
EMNLP 2023
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains
ICML 2023
Faithful Heteroscedastic Regression with Neural Networks
AISTATS 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification
ICML 2023
Flexible Model Aggregation for Quantile Regression
JMLR 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
ICCV 2023
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks
AISTATS 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
ICML 2023
FUSSL: Fuzzy Uncertain Self Supervised Learning
WACV 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
NeurIPS 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
NeurIPS 2023
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection
CVPR 2023
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
WACV 2023
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
CVPR 2023
Guided Deep Kernel Learning
UAI 2023
Heteroskedastic Geospatial Tracking with Distributed Camera Networks
UAI 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
JMLR 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
ICML 2023
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors
CoRL 2023
Implicit Manifold Gaussian Process Regression
NeurIPS 2023
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization
NeurIPS 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
AISTATS 2023