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

Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation MIDL 2021
Soft Calibration Objectives for Neural Networks NIPS 2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance EMNLP 2021
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021
Regressing Location on Text for Probabilistic Geocoding IJCNLP 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data INTERSPEECH 2021
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ACL 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021
Moment Multicalibration for Uncertainty Estimation COLT 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes CORL 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets NIPS 2021
Robustness via Cross-Domain Ensembles ICCV 2021
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation ICCV 2021
Calibrated Adaptive Probabilistic ODE Solvers AISTATS 2021
Uncertainty-Aware Human Mesh Recovery From Video by Learning Part-Based 3D Dynamics ICCV 2021
Learning Accurate Dense Correspondences and When To Trust Them CVPR 2021
How Certain is Your Transformer? EACL 2021
Repulsive Deep Ensembles are Bayesian NIPS 2021
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks UAI 2021
On the effects of quantisation on model uncertainty in Bayesian neural networks UAI 2021
Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition CVPR 2021
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search AAAI 2021
Learning Prediction Intervals for Model Performance AAAI 2021