← Keywords

uncertainty quantification

1365 papers

Explore in graph

Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs WACV 2021
Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection ICCV 2021
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval ICCV 2021
Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021
Confidence in causal discovery with linear causal models UAI 2021
Uncertainty in minimum cost multicuts for image and motion segmentation UAI 2021
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition ACL 2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models MLHC 2021
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction MLHC 2021
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging MIDL 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data NIPS 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks NIPS 2020
Stochastic Deep Gaussian Processes over Graphs NIPS 2020
Ensembling geophysical models with Bayesian Neural Networks NIPS 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry CVPR 2020
On the Uncertainty of Self-Supervised Monocular Depth Estimation CVPR 2020
Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus INTERSPEECH 2020
Bayesian Deep Ensembles via the Neural Tangent Kernel NIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020
Uncertainty Quantification for Inferring Hawkes Networks NIPS 2020
Classification with Valid and Adaptive Coverage NIPS 2020
Uncertainty Based Camera Model Selection CVPR 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification INTERSPEECH 2020
Robust Regression for Safe Exploration in Control L4DC 2020