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

A geometric method for improved uncertainty estimation in real-time UAI 2022
Evaluating high-order predictive distributions in deep learning UAI 2022
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention AAAI 2022
EasySED: Trusted Sound Event Detection with Self-Distillation AAAI 2022
Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection CVPR 2022
Leveraging Self-Supervision for Cross-Domain Crowd Counting CVPR 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks AAAI 2022
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification NIPS 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels NAACL 2022
Tackling covariate shift with node-based Bayesian neural networks ICML 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates AAAI 2022
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NIPS 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator NIPS 2022
Single Model Uncertainty Estimation via Stochastic Data Centering NIPS 2022
Introspective Learning : A Two-Stage approach for Inference in Neural Networks NIPS 2022
What Makes Graph Neural Networks Miscalibrated? NIPS 2022
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness ICML 2022
Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection CORL 2022
Input Dependent Sparse Gaussian Processes ICML 2022
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation ACML 2022
Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction INTERSPEECH 2022
Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022
Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation IJCAI 2022