Co-occurring keywords · papers mentioning both
Papers
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
ICML 2023
Multilevel CNNs for Parametric PDEs
JMLR 2023
Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding
ACL 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
ICML 2023
Nearest Neighbor Dirichlet Mixtures
JMLR 2023
Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
ICML 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling
AAAI 2023
Novel Class Discovery for 3D Point Cloud Semantic Segmentation
CVPR 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
ICML 2023
Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
CVPR 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
ICML 2023
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
ICLR 2023
On double-descent in uncertainty quantification in overparametrized models
AISTATS 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
ICML 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
AAAI 2023
On the Calibration of Probabilistic Classifier Sets
AISTATS 2023
Optimal Strategies for Reject Option Classifiers
JMLR 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
NeurIPS 2023
PAC Prediction Sets for Large Language Models of Code
ICML 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
NeurIPS 2023
Pointwise sampling uncertainties on the Precision-Recall curve
AISTATS 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
NeurIPS 2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
AAAI 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
ACL 2023
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
NeurIPS 2023