prediction uncertainty

Early Concept Drift Detection via Prediction Uncertainty AAAI 2025 Efficient Subsampling for GNN Downstream Tasks ACML 2025 Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild CVPR 2025 Exploring Working Memory Capacity in LLMs: From Stressors to Human-Inspired Strategies IJCNLP 2025 General Uncertainty Estimation with Delta Variances AAAI 2025 Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty ICML 2025 Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling CoRL 2025 CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting ICLR 2024 Data Poisoning Attacks against Conformal Prediction ICML 2024 Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization ICML 2024 Semi-Supervised Segmentation via Embedding Matching MIDL 2024 Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests EACL 2024 Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation CVPR 2022 When and How Mixup Improves Calibration ICML 2022 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Gaze Estimation for Assisted Living Environments WACV 2020 Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning CVPR 2020 Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020 Bayesian Uncertainty Matching for Unsupervised Domain Adaptation IJCAI 2019 On discriminative learning of prediction uncertainty ICML 2019