uncertainty estimation

MixTEA: Semi-supervised Entity Alignment with Mixture Teaching EMNLP 2023 Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 Multiclass Confidence and Localization Calibration for Object Detection CVPR 2023 Multi Time Scale World Models NeurIPS 2023 Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb NeurIPS 2023 Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning NeurIPS 2023 On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models AAAI 2023 Open Set Action Recognition via Multi-Label Evidential Learning CVPR 2023 Out-of-Distribution Detection for Monocular Depth Estimation ICCV 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NeurIPS 2023 Packed Ensembles for efficient uncertainty estimation ICLR 2023 Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks EACL 2023 Physics-Guided Human Motion Capture with Pose Probability Modeling IJCAI 2023 Pixel-Wise Prediction Based Visual Odometry via Uncertainty Estimation WACV 2023 Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation AAAI 2023 Probabilistic Knowledge Distillation of Face Ensembles CVPR 2023 Probabilistic Multi-Dimensional Classification UAI 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023 Proximity-Informed Calibration for Deep Neural Networks NeurIPS 2023 Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play ICLR 2023 Quantized Compressed Sensing with Score-Based Generative Models ICLR 2023 Reliability in Semantic Segmentation: Are We on the Right Track? CVPR 2023 Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023