uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation WACV 2025

Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-Supervised Medical Image Segmentation WACV 2025

CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025

Neural Conformal Control for Time Series Forecasting AAAI 2025

Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles WACV 2025

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction AAAI 2025

Demystify Verbosity Compensation Behavior of Large Language Models EMNLP 2025

Uncertainty in Semantic Language Modeling with PIXELS EMNLP 2025

Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification WACV 2025

CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation WACV 2025

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint) IJCAI 2025

Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025

An Automatic Method to Estimate Correctness of RAG COLING 2025

ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025

Towards Truly Open, Language-Specific, Safe, Factual, and Specialized Large Language Models COLING 2025

Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025

The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025

The Benefits of Being Uncertain: Perplexity as a Signal for Naturalness in Multilingual Machine Translation EMNLP 2025

Conformal Thresholded Intervals for Efficient Regression AAAI 2025

Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025

Risk Controlled Image Retrieval AAAI 2025

Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025

Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs IJCAI 2025

Multi-view Evidential Learning-based Medical Image Segmentation AAAI 2025

Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models EMNLP 2025