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

Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties UAI 2023
Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks EACL 2023
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction EACL 2023
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023
Anti-Exploration by Random Network Distillation ICML 2023
Evidential Interactive Learning for Medical Image Captioning ICML 2023
Hyperspectral Image Denoising Using Uncertainty-Aware Adjustor IJCAI 2023
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach IJCAI 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation IJCAI 2023
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation ICCV 2023
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching ICCV 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning ICCV 2023
ELFNet: Evidential Local-global Fusion for Stereo Matching ICCV 2023
Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation ICCV 2023
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field ICCV 2023
Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging ICCV 2023
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models ICCV 2023
Out-of-Distribution Detection for Monocular Depth Estimation ICCV 2023
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach AAAI 2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation AAAI 2023
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning AAAI 2023
Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models AAAI 2023
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023