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

Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models AAAI 2026

LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint) AAAI 2026

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models ACL 2026

AdaFuse: Adaptive Ensemble Decoding for Large Language Models ACL 2026

Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation ACL 2026

GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS WACV 2026

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging WACV 2026

Latent Uncertainty-Aware Multi-View SDF Scan Completion WACV 2026

Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting WACV 2026

Confidence Through Parallel Attention for Depth and Uncertainty Estimation in Dynamic Environments WACV 2026

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026

Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026

Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval AAAI 2026

Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification AAAI 2026

Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026

Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning AAAI 2026

On the Evaluation of Capability Estimation Methods for Large Language Models AAAI 2026

Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief AAAI 2026

Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026

Do Retrieval Augmented Language Models Know When They Don’t Know? AAAI 2026

Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026

Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation AAAI 2026

Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning AAAI 2026

Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification AAAI 2026

Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation MIDL 2026