Co-occurring keywords · papers mentioning both
Papers
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
NeurIPS 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
NeurIPS 2022
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison
UAI 2022
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning
UAI 2022
Single Model Uncertainty Estimation via Stochastic Data Centering
NeurIPS 2022
Tackling covariate shift with node-based Bayesian neural networks
ICML 2022
The Implicit Delta Method
NeurIPS 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets
AAAI 2022
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game
NeurIPS 2022
Uncertainty-Driven Dehazing Network
AAAI 2022
Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition
CVPR 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
NeurIPS 2022
Active Learning for Deep Object Detection via Probabilistic Modeling
ICCV 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
ICML 2021
Digging Into Uncertainty in Self-Supervised Multi-View Stereo
ICCV 2021
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
NeurIPS 2021
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
AISTATS 2021
Improving black-box optimization in VAE latent space using decoder uncertainty
NeurIPS 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
AISTATS 2021
Meta-Learning Reliable Priors in the Function Space
NeurIPS 2021
On Hallucination and Predictive Uncertainty in Conditional Language Generation
EACL 2021
Perception Beyond Sensors Under Uncertainty
AAAI 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction
ICML 2021
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation
WACV 2021
Risk-Averse Zero-Order Trajectory Optimization
CoRL 2021