conftrace_

aleatoric uncertainty

109 papers

Explore in graph

Also known as

AU

Co-occurring keywords

epistemic uncertainty (160) uncertainty quantification (1393) uncertainty estimation (648) neural network (6616) out-of-distribution detection (617) semantic segmentation (3186) large language model (13587) diffusion model (3751) bayesian neural network (201) variational inference (2069)

Papers

Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NIPS 2022
Deep Probability Estimation ICML 2022
Modeling Aleatoric Uncertainty for Camouflaged Object Detection WACV 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NIPS 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data NIPS 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs NIPS 2022
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation WACV 2021
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties AISTATS 2021
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract) AAAI 2021
Risk-Averse Zero-Order Trajectory Optimization CORL 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021
On Hallucination and Predictive Uncertainty in Conditional Language Generation EACL 2021
SMD-Nets: Stereo Mixture Density Networks CVPR 2021
Perception Beyond Sensors Under Uncertainty AAAI 2021
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation ICCV 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions NIPS 2021
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty NIPS 2020
Deep Evidential Regression NIPS 2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles UAI 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NIPS 2020
Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020
Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020