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Papers
Uncertainty Quantification for In-Context Learning of Large Language Models
NAACL 2024
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
NeurIPS 2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction
ICCV 2023
Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty
AISTATS 2023
Deep Deterministic Uncertainty: A New Simple Baseline
CVPR 2023
Deep Gaussian mixture ensembles
UAI 2023
dugMatting: Decomposed-Uncertainty-Guided Matting
ICML 2023
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
NeurIPS 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
ACL 2023
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks
ACL 2023
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
AISTATS 2023
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
ICLR 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling
AAAI 2023
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
NeurIPS 2023
On the Calibration of Probabilistic Classifier Sets
AISTATS 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
ICML 2023
Plausible Uncertainties for Human Pose Regression
ICCV 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
ICML 2023
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
NeurIPS 2023
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
UAI 2023
Risk Bounds on Aleatoric Uncertainty Recovery
AISTATS 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models
ICCV 2023
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation
ICLR 2023
The Unreasonable Effectiveness of Deep Evidential Regression
AAAI 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
UAI 2023