conftrace_

uncertainty estimation

648 papers

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Also known as

UE

Co-occurring keywords

uncertainty quantification (1393) out-of-distribution detection (617) large language model (13587) bayesian inference (1907) active learning (1301) neural network (6616) semantic segmentation (3186) variational inference (2069) semi-supervised learning (2341) domain adaptation (4595)

Papers

Probabilistic Face Embeddings ICCV 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation ICCV 2019
Face Alignment With Kernel Density Deep Neural Network ICCV 2019
Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019
The Functional Neural Process NIPS 2019
Incremental Learning from Scratch for Task-Oriented Dialogue Systems ACL 2019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NIPS 2019
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method ICCV 2019
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty MIDL 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation IJCNLP 2019
Learning to request guidance in emergent language EMNLP 2019
Hierarchical Discrete Distribution Decomposition for Match Density Estimation CVPR 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning NIPS 2019
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data MIDL 2019
Multi-Task Time Series Analysis applied to Drug Response Modelling AISTATS 2019
Active Generative Adversarial Network for Image Classification AAAI 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation EMNLP 2019
Reparameterizing Distributions on Lie Groups AISTATS 2019
Learning to Caption Images Through a Lifetime by Asking Questions ICCV 2019
Deep Factors for Forecasting ICML 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces ICML 2019
Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019
Noisy Natural Gradient as Variational Inference ICML 2018