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Predictive Uncertainty Estimation via Prior Networks

Neural Information Processing Systems (NeurIPS), 2018

28 February 2018

Papers citing "Predictive Uncertainty Estimation via Prior Networks"

50 / 575 papers shown

Title
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences Xiang Xu Ao Liang Youquan Liu Linfeng Li Lingdong Kong Ziwei Liu Qingshan Liu 40 0 0 02 Dec 2025
A Variance-Based Analysis of Sample Complexity for Grid Coverage Lyu Yuhuan 164 3 0 21 Nov 2025
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Christopher Bülte Yusuf Sale Gitta Kutyniok Eyke Hüllermeier UQCV 207 0 0 29 Oct 2025
Efficient semantic uncertainty quantification in language models via diversity-steered sampling Ji Won Park K. Cho 106 0 0 24 Oct 2025
Knowledge Distillation of Uncertainty using Deep Latent Factor Model Sehyun Park Jongjin Lee Yunseop Shin Ilsang Ohn Yongdai Kim UQCV BDL 337 0 0 22 Oct 2025
Uncertainty Estimation by Flexible Evidential Deep Learning Taeseong Yoon Heeyoung Kim OODD UQCV BDL EDL 236 0 0 21 Oct 2025
Through the Lens of Doubt: Robust and Efficient Uncertainty Estimation for Visual Place Recognition Emily Miller Michael Milford Muhammad Burhan Hafez SD Ramchurn Shoaib Ehsan 100 0 0 15 Oct 2025
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models Haziq Mohammad Khalid Athikash Jeyaganthan Timothy Do Yicheng Fu Sean O'Brien Sean O Brien Kevin Zhu KELM 109 0 0 15 Oct 2025
Valid Stopping for LLM Generation via Empirical Dynamic Formal Lift Sanjeda Akter Ibne Farabi Shihab Anuj Sharma 112 0 0 07 Oct 2025
Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers Kevin Raina T. Schmah BDL 134 0 0 07 Oct 2025
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection Momin Abbas Ali Falahati Hossein Goli Mohammad Mohammadi Amiri 144 1 0 07 Oct 2025
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition Koen Vellenga H. Steinhauer Jonas Andersson Anders Sjögren 127 0 0 06 Oct 2025
Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation Mykyta Ielanskyi Kajetan Schweighofer L. Aichberger Sepp Hochreiter HILM 209 0 0 02 Oct 2025
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning Zhizhong Zhao Ke Chen UQCV 253 0 0 16 Sep 2025
Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Matthew Nolan Lina Yao Robert Davidson 116 0 0 10 Sep 2025
Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators Federico Cerutti 74 0 0 08 Sep 2025
Uncertainty-aware Test-Time Training (UT $^3$ ) for Efficient On-the-fly Domain Adaptive Dense Regression Uddeshya Upadhyay OOD 152 0 0 03 Sep 2025
Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal Markus Oehri Giulia Conti Kaviraj Pather Alexandre Rossi Laia Serra Adrian Parody Rogvi Johannesen Aviaja Petersen Arben Krasniqi 140 1 0 01 Sep 2025
Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Amirhossein Nazeri Wael Hafez AAML 84 0 0 29 Aug 2025
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML Ismail Lamaakal Chaymae Yahyati Khalid El Makkaoui Ibrahim Ouahbi Yassine Maleh UQCV MQ 112 2 0 18 Aug 2025
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML Ismail Lamaakal Chaymae Yahyati Khalid El Makkaoui Ibrahim Ouahbi Yassine Maleh 88 2 0 18 Aug 2025
PEdger++: Practical Edge Detection via Assembling Cross Information Yuanbin Fu Liang Li Xiaojie Guo 110 0 0 16 Aug 2025
A Simple and Effective Method for Uncertainty Quantification and OOD Detection Yaxin Ma Benjamin Colburn José C. Príncipe UQCV BDL 188 0 0 01 Aug 2025
BOOD: Boundary-based Out-Of-Distribution Data GenerationInternational Conference on Machine Learning (ICML), 2025 Qilin Liao Shuo Yang Bo Zhao Ping Luo Hengshuang Zhao 186 2 0 01 Aug 2025
A Context-Aware Dual-Metric Framework for Confidence Estimation in Large Language Models Mingruo Yuan Shuyi Zhang Ben Kao 132 0 0 01 Aug 2025
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty Jiayu Li Ziyi Ye Guohao Jian Zhiqiang Guo Weizhi Ma Jiaxin Mao Min Zhang 149 0 0 31 Jul 2025
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process Xiaodong Feng Ling Guo Xiaoliang Wan Hao Wu Tao Zhou Wenwen Zhou AI4CE 203 0 0 30 Jul 2025
Efficient Uncertainty in LLMs through Evidential Knowledge Distillation Lakshmana Sri Harsha Nemani P.K. Srijith Tomasz Kuśmierczyk UQCV EDL UD 184 0 0 24 Jul 2025
Distributional Uncertainty for Out-of-Distribution DetectionAdvanced Video and Signal Based Surveillance (AVSS), 2025 JinYoung Kim DaeUng Jo Kimin Yun Jeonghyo Song Y. Yoo UQCV 123 1 0 24 Jul 2025
Flow Stochastic Segmentation Networks Fabio De Sousa Ribeiro Omar Todd Charles Jones Avinash Kori Raghav Mehta Ben Glocker 205 0 0 24 Jul 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava 255 0 0 01 Jul 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion ApproachIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Qingfeng Chen Shiyuan Li Yixin Liu Shirui Pan Geoffrey I. Webb Shichao Zhang EDL 278 8 0 16 Jun 2025
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning Rohit Mohan Julia Hindel F. Drews Claudius Gläser Daniele Cattaneo Abhinav Valada UQCV EDL 390 1 0 16 Jun 2025
Learning to Fuse: Modality-Aware Adaptive Scheduling for Robust Multimodal Foundation Models Liam Bennett Mason Clark Lucas Anderson Hana Satou Olivia Martinez 78 0 0 15 Jun 2025
Improving Group Robustness on Spurious Correlation via Evidential Alignment Wenqian Ye Guangtao Zheng Aidong Zhang 250 3 0 12 Jun 2025
Multi-level and Multi-modal Action AnticipationInternational Conference on Information Photonics (ICIP), 2025 Seulgi Kim Ghazal Kaviani Mohit Prabhushankar Ghassan AlRegib 170 1 0 03 Jun 2025
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty Sebastián Jiménez Mira Jürgens Willem Waegeman UD PER 604 2 0 29 May 2025
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Yinong Oliver Wang N. Sivakumar Falaah Arif Khan Rin Metcalf Susa Adam Goliñski Natalie Mackraz B. Theobald Luca Zappella N. Apostoloff 248 1 0 29 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 196 1 0 28 May 2025
Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision LayerInternational Conference on Learning Representations (ICLR), 2025 Xinyue Hu Zhibin Duan Bo Chen Mingyuan Zhou UQCV BDL 324 1 0 28 May 2025
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 PriorIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Tsai Hor Chan Dora Yan Zhang Guosheng Yin Lequan Yu UQCV BDL 133 0 0 23 May 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Chuanxing Geng Qifei Li Xinrui Wang Dong Liang Songcan Chen Pong C. Yuen 293 1 0 19 May 2025
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)Research Square (RS), 2025 Zhongnan Fang Andrew Johnston Lina Cheuy Hye Sun Na Magdalini Paschali ... Derrick Laurel Andrew Walker Campion Michael Iv Akshay S. Chaudhari David B. Larson 206 1 0 16 May 2025
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Ibrahim Elsharkawy Yonatan Kahn 151 4 0 13 May 2025
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka Cheng Ouyang Katharina Breininger Peter Schüffler Bernhard Kainz DD 461 1 0 10 May 2025
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' Shireen Kudukkil Manchingal Andrew Bradley Julian F. P. Kooij Keivan K1 Shariatmadar Neil Yorke-Smith Fabio Cuzzolin 513 1 0 08 May 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 587 2 0 25 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for GraphsInternational Conference on Machine Learning (ICML), 2025 Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 426 10 0 18 Apr 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2023 Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 341 0 0 13 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation Sebastian Schmidt Julius Körner Dominik Fuchsgruber Stefano Gasperini F. Tombari Stephan Günnemann 319 2 0 07 Apr 2025