conftrace_

uncertainty estimation

769 papers

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UE

Co-occurring keywords · papers mentioning both

uncertainty quantification (151) out-of-distribution detection (75) large language model (55) bayesian inference (51) active learning (43) variational inference (36) neural network (32) semantic segmentation (30) model calibration (30) bayesian neural network (29)

Papers

Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024 Large Language Models Must Be Taught to Know What They Don’t Know NeurIPS 2024 Latent Representation Entropy Density for Distribution Shift Detection UAI 2024 LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry CVPR 2024 Leveraging Uncertainty Estimates To Improve Classifier Performance ICLR 2024 LLM Internal States Reveal Hallucination Risk Faced With a Query EMNLP 2024 MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024 Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy EACL 2024 Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction COLING 2024 Model Merging by Uncertainty-Based Gradient Matching ICLR 2024 NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild CVPR 2024 NightCC: Nighttime Color Constancy via Adaptive Channel Masking CVPR 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 On the Estimation of Image-matching Uncertainty in Visual Place Recognition CVPR 2024 On the Use of Anchoring for Training Vision Models NeurIPS 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness CVPR 2024 PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation CVPR 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? NeurIPS 2024 Predictive Accuracy-Based Active Learning for Medical Image Segmentation IJCAI 2024 Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024 ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field NeurIPS 2024 Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024 R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning ICLR 2024