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

Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks ACL 2023
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction ACL 2023
MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement ACL 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation EMNLP 2023
Uncertainty Guided Global Memory Improves Multi-Hop Question Answering EMNLP 2023
LM-Polygraph: Uncertainty Estimation for Language Models EMNLP 2023
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching EMNLP 2023
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation EMNLP 2023
A Diachronic Perspective on User Trust in AI under Uncertainty EMNLP 2023
Probabilistic Knowledge Distillation of Face Ensembles CVPR 2023
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation CVPR 2023
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NIPS 2023
Multi Time Scale World Models NIPS 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NIPS 2023
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb NIPS 2023
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation NIPS 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NIPS 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NIPS 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NIPS 2023
Proximity-Informed Calibration for Deep Neural Networks NIPS 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NIPS 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning NIPS 2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation NIPS 2023