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

Template-based Uncertainty Multimodal Fusion Network for RGBT Tracking IJCAI 2025
GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation EMNLP 2025
Adaptive Platt Scaling with Causal Interpretations for Self-Reflective Language Model Uncertainty Estimates EMNLP 2025
ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty ACL 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS AAAI 2025
MotionMap: Representing Multimodality in Human Pose Forecasting CVPR 2025
UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective EMNLP 2025
Adaptive Preference Optimization with Uncertainty-aware Utility Anchor EMNLP 2025
Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior CVPR 2025
Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning ACL 2025
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions AAAI 2025
A Survey of Uncertainty Estimation Methods on Large Language Models ACL 2025
Multi-view Gaze Target Estimation ICCV 2025
WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments CVPR 2025
Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach EMNLP 2025
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025
Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025
Causal Understanding by LLMs: The Role of Uncertainty EMNLP 2025
FLUE: Streamlined Uncertainty Estimation for Large Language Models AAAI 2025
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI 2025
Feature Clipping for Uncertainty Calibration AAAI 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training AAAI 2025
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration AAAI 2025