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aleatoric uncertainty

109 papers

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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

dugMatting: Decomposed-Uncertainty-Guided Matting ICML 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NIPS 2023
Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty AISTATS 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models ICCV 2023
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023
On the Calibration of Probabilistic Classifier Sets AISTATS 2023
Deep Gaussian mixture ensembles UAI 2023
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning NIPS 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs ICML 2023
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval NIPS 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution UAI 2023
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks NIPS 2023
Plausible Uncertainties for Human Pose Regression ICCV 2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction ICCV 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs ICML 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling AAAI 2023
The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NIPS 2022
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison UAI 2022
Uncertainty-Driven Dehazing Network AAAI 2022
Disentangling Uncertainty in Machine Translation Evaluation EMNLP 2022
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation ICML 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design NIPS 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NIPS 2022