{"total":62,"rows":[{"id":"2206.08367","title":"SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation","created":"2022-06-16","cited_by_count":146,"area":null},{"id":"2402.19460","title":"Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks","created":"2024-02-29","cited_by_count":78,"area":null},{"id":"2210.03736","title":"Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis","created":"2022-10-05","cited_by_count":63,"area":null},{"id":"2211.07394","title":"Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization","created":"2022-11-14","cited_by_count":45,"area":null},{"id":"2307.03217","title":"Quantification of Uncertainty with Adversarial Models","created":"2023-07-06","cited_by_count":28,"area":null},{"id":"2311.08309","title":"Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty","created":"2023-11-14","cited_by_count":28,"area":null},{"id":"2401.08501","title":"ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation","created":"2024-01-16","cited_by_count":25,"area":null},{"id":"2211.08701","title":"Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction","created":"2022-11-16","cited_by_count":22,"area":null},{"id":"2307.05772","title":"Random-Set Neural Networks (RS-NN)","created":"2023-07-11","cited_by_count":19,"area":null},{"id":"2207.10130","title":"Latent Discriminant deterministic Uncertainty","created":"2022-07-20","cited_by_count":17,"area":null},{"id":"2211.11435","title":"ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference","created":"2022-11-21","cited_by_count":15,"area":null},{"id":"2301.01054","title":"Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise","created":"2023-01-03","cited_by_count":15,"area":null},{"id":"2109.13337","title":"DEBOSH: Deep Bayesian Shape Optimization","created":"2021-09-28","cited_by_count":14,"area":null},{"id":"2402.16569","title":"Pretrained Visual Uncertainties","created":"2024-02-26","cited_by_count":10,"area":null},{"id":"2404.10124","title":"Epistemic Uncertainty Quantification For Pre-trained Neural Network","created":"2024-04-15","cited_by_count":10,"area":null},{"id":"2510.18322","title":"Uncertainty Estimation by Flexible Evidential Deep Learning","created":"2025-10-21","cited_by_count":10,"area":null},{"id":"2204.06546","title":"Disentangling Uncertainty in Machine Translation Evaluation","created":"2022-04-13","cited_by_count":9,"area":null},{"id":"2211.13771","title":"Towards Practical Control of Singular Values of Convolutional Layers","created":"2022-11-24","cited_by_count":9,"area":null},{"id":"2505.23506","title":"Position: Epistemic uncertainty estimation methods are fundamentally incomplete","created":"2025-05-29","cited_by_count":9,"area":null},{"id":"2302.03347","title":"An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping","created":"2023-02-07","cited_by_count":8,"area":null},{"id":"2412.15758","title":"Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles","created":"2024-12-20","cited_by_count":8,"area":null},{"id":"2505.04950","title":"Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'","created":"2025-05-08","cited_by_count":8,"area":null},{"id":"2507.16559","title":"Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge","created":"2025-07-22","cited_by_count":8,"area":null},{"id":"2303.05796","title":"Training, Architecture, and Prior for Deterministic Uncertainty Methods","created":"2023-03-10","cited_by_count":7,"area":null},{"id":"2210.04472","title":"Uncertainty-aware LiDAR Panoptic Segmentation","created":"2022-10-10","cited_by_count":6,"area":null},{"id":"2503.20011","title":"Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception","created":"2025-03-25","cited_by_count":6,"area":null},{"id":"2211.05421","title":"Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation","created":"2022-11-10","cited_by_count":5,"area":null},{"id":"2307.15647","title":"Multi-layer Aggregation as a key to feature-based OOD detection","created":"2023-07-28","cited_by_count":5,"area":null},{"id":"2308.02248","title":"On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation","created":"2023-08-04","cited_by_count":5,"area":null},{"id":"2405.13235","title":"Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos","created":"2024-05-21","cited_by_count":5,"area":null},{"id":"2410.23910","title":"Uncertainty Estimation for 3D Object Detection via Evidential Learning","created":"2024-10-31","cited_by_count":5,"area":null},{"id":"2405.04405","title":"Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation","created":"2024-05-07","cited_by_count":4,"area":null},{"id":"2405.17494","title":"Transitional Uncertainty with Layered Intermediate Predictions","created":"2024-05-25","cited_by_count":4,"area":null},{"id":"2411.07097","title":"Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification","created":"2024-11-11","cited_by_count":4,"area":null},{"id":"2502.13103","title":"WeedsGalore: A Multispectral and Multitemporal UAV-based Dataset for Crop and Weed Segmentation in Agricultural Maize Fields","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2406.10775","title":"A Rate-Distortion View of Uncertainty Quantification","created":"2024-06-16","cited_by_count":3,"area":null},{"id":"2504.13111","title":"Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification","created":"2025-04-17","cited_by_count":3,"area":null},{"id":"2505.15863","title":"Generative AI for Autonomous Driving: A Review","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2211.01999","title":"Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS","created":"2022-11-03","cited_by_count":2,"area":null},{"id":"2402.12664","title":"Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods","created":"2024-02-20","cited_by_count":2,"area":null},{"id":"2403.11966","title":"Informed Spectral Normalized Gaussian Processes for Trajectory Prediction","created":"2024-03-18","cited_by_count":2,"area":null},{"id":"2406.12082","title":"Uncertainty modeling for fine-tuned implicit functions","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2509.01319","title":"Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals","created":"2025-09-01","cited_by_count":2,"area":null},{"id":"2512.19472","title":"Multi-Layer Confidence Scoring for Detection of Out-of-Distribution Samples, Adversarial Attacks, and In-Distribution Misclassifications","created":"2025-12-22","cited_by_count":2,"area":null},{"id":"2604.03388","title":"Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters","created":"2026-04-03","cited_by_count":2,"area":null},{"id":"2404.06124","title":"Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation","created":"2024-04-09","cited_by_count":1,"area":null},{"id":"2405.06487","title":"Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training","created":"2024-05-10","cited_by_count":1,"area":null},{"id":"2408.14281","title":"Uncertainties of Latent Representations in Computer Vision","created":"2024-08-26","cited_by_count":1,"area":null},{"id":"2502.20532","title":"Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging","created":"2025-02-27","cited_by_count":1,"area":null},{"id":"2507.08905","title":"Last Layer Hamiltonian Monte Carlo","created":"2025-07-11","cited_by_count":1,"area":null},{"id":"2603.29941","title":"Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance","created":"2026-03-31","cited_by_count":1,"area":null},{"id":"2604.08877","title":"Harnessing Weak Pair Uncertainty for Text-based Person Search","created":"2026-04-10","cited_by_count":1,"area":null},{"id":"2608.05995","title":"A Ground-Truth Framework for Uncertainty Disentanglement with Posterior Risk","created":"2026-08-06","cited_by_count":1,"area":null},{"id":"2111.11055","title":"Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model","created":"2021-11-22","cited_by_count":0,"area":null},{"id":"2407.12609","title":"Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation","created":"2024-07-17","cited_by_count":0,"area":null},{"id":"2411.15060","title":"Hallucination Detection in Virtually-Stained Histology: A Latent Space Baseline","created":"2024-11-22","cited_by_count":0,"area":null},{"id":"2509.16277","title":"Stabilizing Information Flow Entropy: Regularization for Safe and Interpretable Autonomous Driving Perception","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2510.05006","title":"Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition","created":"2025-10-06","cited_by_count":0,"area":null},{"id":"2605.27136","title":"Leveraging Visual Signals for Robust Token-Level Uncertainty in Vision-Language Generation","created":"2026-05-26","cited_by_count":0,"area":"mllm"},{"id":"2607.28248","title":"Uncertainty quantification for trustworthy deep learning: Methods and measures","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2608.01530","title":"ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation","created":"2026-08-02","cited_by_count":0,"area":null},{"id":"2609.08620","title":"Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}