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uncertainty estimation

769 papers

UE

Papers

4D Point Cloud Segmentation via Active Test-Time Adaptation AAAI 2026 ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving CVPR 2026 AdaFuse: Adaptive Ensemble Decoding for Large Language Models ACL 2026 Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval AAAI 2026 AREA3D: Active Reconstruction Agent with Unified Feed-Forward 3D Perception and Vision-Language Guidance CVPR 2026 Bandwidth Selection in Kernel Density Estimation for Model Calibration UAI 2026 Beyond Missing Modalities: Hypergraph Conditioned Diffusion for Uncertainty-Aware Multimodal Emotion Recognition CVPR 2026 Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026 Boosting Visual Reprogramming for CLIP with Dual Granularity Alignment CVPR 2026 Bootstrapping Multi-view Learning for Test-time Noisy Correspondence CVPR 2026 Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation ACL 2026 Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026 CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images MIDL 2026 Confidence Through Parallel Attention for Depth and Uncertainty Estimation in Dynamic Environments WACV 2026 DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics AAAI 2026 Do Retrieval Augmented Language Models Know When They Don’t Know? AAAI 2026 Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation AAAI 2026 DROID-SLAM in the Wild CVPR 2026 ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment AAAI 2026 Enhancing Accuracy of Uncertainty Estimation in Appearance-based Gaze Tracking with Probabilistic Evaluation and Calibration CVPR 2026 Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief AAAI 2026 Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation AAAI 2026 Evidential Retriever: Uncertainty-Aware Medical Image Retrieval MIDL 2026 Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation CVPR 2026 Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaptation of Medical Image Segmentation MIDL 2026