Uncertainty Estimation in Neural Networks Through Multi-Task Learning (original) (raw)
Related papers
ACM Computing Surveys, 2022
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
2020
Evaluation of Uncertainty Quantification in Deep Learning
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems
LogSE: An Uncertainty-Based Multi-Task Loss Function for Learning Two Regression Tasks
JUCS - Journal of Universal Computer Science
Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation
ArXiv, 2021
Cornell University - arXiv, 2022
Tradi Tracking Deep Neural Network Weight Distributions for Uncertainty Estimation
arXiv: Learning, 2019
Confident Neural Network Regression with Bootstrapped Deep Ensembles
Cornell University - arXiv, 2022
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
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions
arXiv (Cornell University), 2021
Towards calibrated and scalable uncertainty representations for neural networks
ArXiv, 2019
Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference
Sensors
Credal Deep Ensembles for Uncertainty Quantification
2024 Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
A comparison of loss weighting strategies for multi-task learning in deep neural networks
IEEE Access
Estimating and Controlling the Uncertainty of Learning Machines
Proceedings of the 2006 IEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement (AMUEM 2006), 2006
Deep Deterministic Uncertainty: A Simple Baseline
2021
Human Uncertainty Inference via Deterministic Ensemble Neural Networks
Proceedings of the AAAI Conference on Artificial Intelligence
Information Robust Dirichlet Networks for Predictive Uncertainty Estimation
ArXiv, 2019
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
2020
IEEE Access
2020
Interval Deep Learning for Uncertainty Quantification in Safety Applications
Cornell University - arXiv, 2021
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification
IEEE Transactions on Pattern Analysis and Machine Intelligence
One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification
IEEE Access, 2021
Uncertainty Quantification in Multimodal Ensembles of Deep Learners
2020