conftrace_

uncertainty estimation

648 papers

Explore in graph

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

Causal Understanding by LLMs: The Role of Uncertainty EMNLP 2025
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025
Uncertainty-Aware Regularization for Image-to-Image Translation WACV 2025
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model CVPR 2025
Active Learning for Vision Language Models WACV 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025
LLM-Independent Adaptive RAG: Let the Question Speak for Itself EMNLP 2025
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation CVPR 2025
UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER EMNLP 2025
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies EMNLP 2025
Unsupervised Hallucination Detection by Inspecting Reasoning Processes EMNLP 2025
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval EMNLP 2025
TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs EMNLP 2025
Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild CVPR 2025
Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction CVPR 2025
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data Flexible Views and Transformed Domains WACV 2025
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations AAAI 2025
FLUE: Streamlined Uncertainty Estimation for Large Language Models AAAI 2025
Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach EMNLP 2025
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction WACV 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models ACL 2025