Information Robust Dirichlet Networks for Predictive Uncertainty Estimation (original) (raw)
Related papers
Information Aware Max-Norm Dirichlet Networks for Predictive Uncertainty Estimation
2021
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks
2021
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
2016
Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference
Sensors
ACM Computing Surveys, 2022
PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks
IEEE Transactions on Signal Processing, 2021
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems
Variational Inference to Measure Model Uncertainty in Deep Neural Networks
2019
Robust Neural Regression via Uncertainty Learning
2021 International Joint Conference on Neural Networks (IJCNN), 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
2020
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Uncertainty Quantification in Deep Learning
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
2020
Misclassification Risk and Uncertainty Quantification in Deep Classifiers
2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
IEEE Access
Deterministic Neural Networks with Inductive Biases Capture Epistemic and Aleatoric Uncertainty
2021
Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation
ArXiv, 2021
Towards calibrated and scalable uncertainty representations for neural networks
ArXiv, 2019
Credal Deep Ensembles for Uncertainty Quantification
2024 Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
Tradi Tracking Deep Neural Network Weight Distributions for Uncertainty Estimation
arXiv: Learning, 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning
ArXiv, 2019
Deep Deterministic Uncertainty: A Simple Baseline
2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks
Neural Processing Letters, 2021
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions
arXiv (Cornell University), 2021
2020
The Hidden Uncertainty in a Neural Networks Activations
2021
Regularizing Neural Networks by Penalizing Confident Output Distributions
ArXiv, 2017
Robust Learning via Ensemble Density Propagation in Deep Neural Networks
2020
Towards Clear Expectations for Uncertainty Estimation
arXiv (Cornell University), 2022
Uncertainty in AI: Evaluating Deep Neural Networks on Out-of-Distribution Images
Uncertainty in AI: Evaluating Deep Neural Networks on Out-of-Distribution Images, 2023