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

On the Impact of Weight Quantization on Deep Neural Network Uncertainty AAAI 2026

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

Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026

HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning 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

OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting WACV 2026

FLoMo-Net: A Novel Task-Adaptive Mixture of Experts Routing Framework with Frequency and Uncertainty Correction for Medical Image Segmentation WACV 2026

MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026

Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment AAAI 2026

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract) AAAI 2026

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

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026

ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment AAAI 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

Seeing through the Conﬂict: Transparent Knowledge Conﬂict Handling in Retrieval-Augmented Generation AAAI 2026