Uncertainty Quantification for Computer Vision

UQCV

Measures and manages uncertainties in model predictions. Enhances decision-making by providing confidence levels in computer vision tasks.

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Geometric Calibration and Neutral Zones for Uncertainty-Aware Multi-Class Classification Soumojit Das Nairanjana Dasgupta Prashanta Dutta UQCV 97 0 0 26 Nov 2025
Variational bagging: a robust approach for Bayesian uncertainty quantification Shitao Fan Ilsang Ohn David Dunson Lizhen Lin BDL UQCV 145 0 0 25 Nov 2025
Deep Gaussian Process Proximal Policy Optimization Matthijs van der Lende Juan Cardenas-Cartagena GP BDL UQCV 97 0 0 22 Nov 2025
When Active Learning Fails, Uncalibrated Out of Distribution Uncertainty Quantification Might Be the Problem Ashley S. Dale Kangming Li Brian DeCost Hao Wan Yuchen Han Yao Fehlis Jason Hattrick-Simpers UQCV 81 0 0 21 Nov 2025
Addressing A Posteriori Performance Degradation in Neural Network Subgrid Stress Models Andy Wu Sanjiva K. Lele UQCV 68 0 0 21 Nov 2025
Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts Xinlei Xiong Wenbo Hu Shuxun Zhou Kaifeng Bi Lingxi Xie Ying Liu Richang Hong Q. Tian BDL UQCV AI4CE 108 0 0 18 Nov 2025
Monocular 3D Lane Detection via Structure Uncertainty-Aware Network with Curve-Point Queries Ruixin Liu Zejian Yuan UQCV 72 0 0 17 Nov 2025
Contrastive Entropy Bounds for Density and Conditional Density Decomposition Bo Hu José C. Príncipe UQCV 33 0 0 17 Nov 2025
Credal Ensemble Distillation for Uncertainty Quantification Kaizheng Wang Fabio Cuzzolin David Moens Hans Hallez UQCV UD 129 0 0 14 Nov 2025
Multimodal Posterior Sampling-based Uncertainty in PD-L1 Segmentation from H&E Images Roman Kinakh Gonzalo R. Ríos-Muñoz Arrate Muñoz-Barrutia UQCV 236 0 0 14 Nov 2025
Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts Sebastian Cajas Ordonez Luis Fernando Torres Torres Mackenzie J. Meni Carlos Andrés Duran Paredes Eric Arazo Cristian Bosch Ricardo Simón Carbajo Yuan Lai Leo Anthony Celi MQ UQCV 148 0 0 13 Nov 2025
Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification Adrien Lafage Olivier Laurent Firas Gabetni Gianni Franchi UQCV AI4CE 237 0 0 13 Nov 2025
Bayesian Mixture of Experts For Large Language Models Maryam Dialameh Hossein Rajabzadeh Weiwei Zhang Walid Ahmed Hyock Ju Kwon UQCV BDL MoE 213 0 0 12 Nov 2025
BayesQ: Uncertainty-Guided Bayesian Quantization Ismail Lamaakal Chaymae Yahyati Yassine Maleh Khalid El Makkaoui Ibrahim Ouahbi MQ UQCV BDL 204 0 0 11 Nov 2025
DL101 Neural Network Outputs and Loss Functions Fernando Berzal UQCV 120 0 0 07 Nov 2025
On Joint Regularization and Calibration in Deep Ensembles Laurits Fredsgaard Mikkel N. Schmidt UQCV 219 0 0 06 Nov 2025
Partial Trace-Class Bayesian Neural Networks Arran Carter Torben Sell UQCV BDL 230 0 0 03 Nov 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs Abhinav Joshi A. Ahmad Ashutosh Modi UQCV 160 2 0 31 Oct 2025
MARIA: A Framework for Marginal Risk Assessment without Ground Truth in AI Systems Jieshan Chen Suyu Ma Qinghua Lu Sung Une Lee Liming Zhu UQCV 268 0 0 31 Oct 2025
Multiclass Local Calibration With the Jensen-Shannon Distance Cesare Barbera Lorenzo Perini Giovanni De Toni Andrea Passerini Andrea Pugnana UQCV 203 0 0 30 Oct 2025
Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention Jophy Lin UQCV 185 0 0 29 Oct 2025
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Christopher Bülte Yusuf Sale Gitta Kutyniok Eyke Hüllermeier UQCV 161 0 0 29 Oct 2025
Bayesian neural networks with interpretable priors from Mercer kernels A. Alberts Ilias Bilionis UQCV BDL 196 0 0 27 Oct 2025
Schrodinger Neural Network and Uncertainty Quantification: Quantum Machine M. M. Hammad UQCV 102 0 0 27 Oct 2025
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead Shireen Kudukkil Manchingal Armand Amaritei Mihir Gohad Maryam Sultana Julian F. P. Kooij Fabio Cuzzolin Andrew Bradley UQCV EDL 200 0 0 26 Oct 2025
Frequentist Validity of Epistemic Uncertainty Estimators Anchit Jain Stephen Bates UD UQCV PER 170 0 0 24 Oct 2025
Multi-Task Deep Learning for Surface Metrology D. Kucharski A. Gaska T. Kowaluk K. Stepien M. Repalska ... M. Nawotka P. Sobecki P. Sosinowski J. Tomasik A. Wojtowicz UQCV 126 0 0 23 Oct 2025
Uncertainty evaluation of segmentation models for Earth observation Melanie Rey Andriy Mnih Maxim Neumann Matt Overlan Drew Purves UQCV 112 0 0 22 Oct 2025
Neural Variational Dropout ProcessesInternational Conference on Learning Representations (ICLR), 2025 Insu Jeon Youngjin Park Gunhee Kim BDL UQCV 203 3 0 22 Oct 2025
Knowledge Distillation of Uncertainty using Deep Latent Factor Model Sehyun Park Jongjin Lee Yunseop Shin Ilsang Ohn Yongdai Kim UQCV BDL 281 0 0 22 Oct 2025
Functional Distribution Networks (FDN) Omer Haq UQCV 114 0 0 20 Oct 2025
An Empirical Study on MC Dropout--Based Uncertainty--Error Correlation in 2D Brain Tumor Segmentation Saumya B UQCV 76 0 0 17 Oct 2025
BoardVision: Deployment-ready and Robust Motherboard Defect Detection with YOLO+Faster-RCNN Ensemble Brandon Hill Kma Solaiman UQCV 94 0 0 16 Oct 2025
Bayesian Topological Convolutional Neural Nets Sarah Harkins Dayton Hayden Everett Ioannis Schizas David L. Boothe Jr. Vasileios Maroulas BDL UQCV 129 0 0 13 Oct 2025
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors Namhoon Kim Sara Fridovich-Keil OOD UQCV 101 0 0 13 Oct 2025
In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning Tomoya Wakayama Taiji Suzuki UQCV BDL 151 2 0 13 Oct 2025
Uncertainty-Aware Post-Detection Framework for Enhanced Fire and Smoke Detection in Compact Deep Learning Models A. Joshi Godwyn James William S. Joshi UQCV 99 0 0 11 Oct 2025
Revisiting Hallucination Detection with Effective Rank-based Uncertainty Rui Wang Zeming Wei Guanzhang Yue Meng Sun UQCV HILM 155 0 0 09 Oct 2025
Value Flows Perry Dong Chongyi Zheng Chelsea Finn Dorsa Sadigh Benjamin Eysenbach OOD OffRL UQCV 132 0 0 09 Oct 2025
Revisiting Mixout: An Overlooked Path to Robust Finetuning Masih Aminbeidokhti H. R. Medeiros Eric Granger M. Pedersoli UQCV 148 0 0 08 Oct 2025
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs Hanieh Shojaei Miandashti C. Brenner UQCV 120 0 0 08 Oct 2025
Can Linear Probes Measure LLM Uncertainty? Ramzi Dakhmouche Adrien Letellier Hossein Gorji UQCV 121 1 0 05 Oct 2025
Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes Xiangjun Mi Frank Mueller UQCV 128 1 0 05 Oct 2025
Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization Haozhe Lei Hao Guo Tommy Svensson S. Rangan UQCV 105 0 0 30 Sep 2025
Uncertainty Quantification for Regression using Proper Scoring Rules Alexander Fishkov Kajetan Schweighofer Mykyta Ielanskyi Nikita Kotelevskii Mohsen Guizani Maxim Panov UQCV 146 1 1 30 Sep 2025
Evaluating Temperature Scaling Calibration Effectiveness for CNNs under Varying Noise Levels in Brain Tumour Detection Ankur Chanda Kushan Choudhury Shubhrodeep Roy Shubhajit Biswas Somenath Kuiry UQCV 104 0 0 29 Sep 2025
Guided Uncertainty Learning Using a Post-Hoc Evidential Meta-Model Charmaine Barker Daniel Bethell Simos Gerasimou UQCV 131 0 0 29 Sep 2025
Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification Yinghao Jin Xi Yang UQCV 128 0 0 29 Sep 2025
Statistical Inference for Gradient Boosting Regression Haimo Fang Kevin Tan Giles Hooker FedML UQCV 73 0 0 27 Sep 2025
Localized Uncertainty Quantification in Random Forests via Proximities Jake S. Rhodes Scott D. Brown J. Riley Wilkinson UQCV 72 0 0 26 Sep 2025

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