Co-occurring keywords · papers mentioning both
Papers
A New PHO-rmula for Improved Performance of Semi-Structured Networks
ICML 2023
Approximating Full Conformal Prediction at Scale via Influence Functions
AAAI 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation
CVPR 2023
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning
CVPR 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
NeurIPS 2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
WACV 2023
Autonomous Navigation, Mapping and Exploration with Gaussian Processes
RSS 2023
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors
JMLR 2023
Bayesian Federated Learning: A Survey
IJCAI 2023
Bayesian Hierarchical Models for Counterfactual Estimation
AISTATS 2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
NeurIPS 2023
Bayesian Optimization-Based Combinatorial Assignment
AAAI 2023
Bayesian Optimization with Conformal Prediction Sets
AISTATS 2023
Bayesian Spiked Laplacian Graphs
JMLR 2023
BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation
UAI 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning
AAAI 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
NeurIPS 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
ICML 2023
Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization
CVPR 2023
Bootstrap in High Dimension with Low Computation
ICML 2023
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI
AISTATS 2023
Cal-DETR: Calibrated Detection Transformer
NeurIPS 2023
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
NeurIPS 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
NeurIPS 2023