conftrace_

uncertainty estimation

769 papers

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Also known as

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

Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024 Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation NAACL 2024 Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission NAACL 2024 Uncertainty Estimation with Recursive Feature Machines UAI 2024 Uncertainty-Guided Modal Rebalance for Hateful Memes Detection ACL 2024 Uncertainty-Guided Never-Ending Learning to Drive CVPR 2024 Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation WACV 2024 Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data AAAI 2024 UNSPAT: Uncertainty-Guided SpatioTemporal Transformer for 3D Human Pose and Shape Estimation on Videos WACV 2024 Using Artificial Populations to Study Psychological Phenomena in Neural Models AAAI 2024 ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation ICLR 2024 Variational Bayesian Last Layers ICLR 2024 Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NeurIPS 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation ICML 2024 When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024 When is Multicalibration Post-Processing Necessary? NeurIPS 2024 World Models for General Surgical Grasping RSS 2024 WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts CVPR 2024 A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NeurIPS 2023 ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation EMNLP 2023 Adaptive Estimation Q-learning with Uncertainty and Familiarity IJCAI 2023 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NeurIPS 2023 Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs EMNLP 2023 A Diachronic Perspective on User Trust in AI under Uncertainty EMNLP 2023