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

Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images AAAI 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024
Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024
ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More CVPR 2024
Uncertainty-Aware Cross-Modal Alignment for Hate Speech Detection COLING 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models ACL 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024
Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy EACL 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024
Suppressing Uncertainty in Gaze Estimation AAAI 2024
Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation NAACL 2024
When is Multicalibration Post-Processing Necessary? NIPS 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification? ACL 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks NIPS 2024
Graph-based Uncertainty Metrics for Long-form Language Model Generations NIPS 2024
Conformalized Deep Splines for Optimal and Efficient Prediction Sets AISTATS 2024
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NIPS 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024
Using Artificial Populations to Study Psychological Phenomena in Neural Models AAAI 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NIPS 2024
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory CVPR 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024