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

Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NIPS 2024
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation WACV 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NIPS 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks NIPS 2024
Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024
Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition WACV 2024
Graph-based Uncertainty Metrics for Long-form Language Model Generations NIPS 2024
WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts CVPR 2024
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison EMNLP 2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know EACL 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models NIPS 2024
Predictive Accuracy-Based Active Learning for Medical Image Segmentation IJCAI 2024
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding NIPS 2024
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection NAACL 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NIPS 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation CVPR 2024
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild CVPR 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation AAAI 2024
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024
Large Language Models Must Be Taught to Know What They Don’t Know NIPS 2024