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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
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 177 5 0 09 Aug 2024
Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks Zizhang Chen Pengyu Hong Sandeep Madireddy 167 3 0 07 Aug 2024
Gaussian Mixture based Evidential Learning for Stereo Matching Weide Liu Xingxing Wang Lu Wang Jun Cheng Fayao Liu Xulei Yang 216 0 0 05 Aug 2024
Confidence Estimation for Automatic Detection of Depression and Alzheimer's Disease Based on Clinical InterviewsInterspeech (Interspeech), 2024 Wen Wu Chuxu Zhang P. Woodland 146 4 0 29 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 193 6 0 23 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 173 2 0 23 Jul 2024
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss Mohammed Fellaji Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro UQCV 246 2 0 16 Jul 2024
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process Yihang Chen Tsai Hor Chan Guosheng Yin Yuming Jiang Lequan Yu 193 5 0 16 Jul 2024
Expert-aware uncertainty estimation for quality control of neural-based blood typing E.E. Zaychenkova Dmitrii Iarchuk S.A. Korchagin Alexey Zaitsev Egor Ershov 129 0 0 15 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning Giuseppe Serra Ben Werner Florian Buettner 380 5 0 10 Jul 2024
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Oliver Schrufer M. Milling Felix Burkhardt F. Eyben Björn Schuller 162 5 0 01 Jul 2024
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data Marco Cominelli Francesco Gringoli Lance M. Kaplan Mani B. Srivastava Federico Cerutti 236 8 0 01 Jul 2024
Cascade Reward Sampling for Efficient Decoding-Time Alignment Bolian Li Yifan Wang Anamika Lochab A. Grama Ruqi Zhang AI4TS 521 27 0 24 Jun 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 310 2 0 17 Jun 2024
Uncertainty Aware Learning for Language Model AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Yikun Wang Rui Zheng Liang Ding Qi Zhang Dahua Lin Dacheng Tao 225 8 0 07 Jun 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 321 1 0 06 Jun 2024
Cycles of Thought: Measuring LLM Confidence through Stable Explanations Evan Becker Stefano Soatto 288 25 0 05 Jun 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation M. Zenk David Zimmerer Hyunjin Park Jeremias Traub T. Norajitra Paul F. Jäger Klaus H. Maier-Hein 305 8 0 05 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 367 4 0 04 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 343 11 0 01 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Shouqing Yang 284 9 0 28 May 2024
Confidence-aware multi-modality learning for eye disease screening K. Zou Tian Lin Zongbo Han Meng Wang Xuedong Yuan Haoyu Chen Changqing Zhang Xiaojing Shen Huazhu Fu 166 10 0 28 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection Lin Zhu Yifeng Yang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye VLM 237 9 0 26 May 2024
Transitional Uncertainty with Layered Intermediate Predictions Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 255 3 0 25 May 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 406 0 0 25 May 2024
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation Yitong Yang Xinli Xu Haigen Hu Haixia Long Qianwei Zhou Qiu Guan FedML MedIm 200 0 0 23 May 2024
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling Shifan Zhao Jiaying Lu Carl Yang Edmond Chow Yuanzhe Xi 332 1 0 22 May 2024
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction Jay Patrikar Sushant Veer Apoorva Sharma Marco Pavone Sebastian A. Scherer 220 1 0 18 May 2024
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training Tareen Dawood B. Ruijsink Reza Razavi Andrew P. King Esther Puyol-Antón UQCV 217 1 0 10 May 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation Pei Liu Luping Ji EDL 318 6 0 07 May 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning Ransalu Senanayake 265 11 0 06 May 2024
Elevator, Escalator, or Neither? Classifying Conveyor State Using Smartphone under Arbitrary Pedestrian BehaviorIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Tianlang He Zhiqiu Xia S.-H. Gary Chan 262 0 0 06 May 2024
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging Yuanye Liu Zheyao Gao Nannan Shi Fuping Wu Yuxin Shi Qingchao Chen Xiahai Zhuang 317 9 0 05 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong Yubiao Yue Yubin Chen Lele Cong Huanjie Lin ... Jialong Xu Xiaoqi Yang Hechang Chen Zhenzhang Li Sihong Xie OOD 194 15 0 28 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 382 2 0 23 Apr 2024
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models Georges Le Bellier Nicolas Audebert 222 11 0 19 Apr 2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty Changbin Li Kangshuo Li Yuzhe Ou Lance M. Kaplan A. Jøsang Jin-Hee Cho Dong Hyun. Jeong Feng Chen UQCV BDL EDL 233 6 0 17 Apr 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection Pietro Recalcati Fabio Garcea Luca Piano Fabrizio Lamberti Lia Morra OODD 254 1 0 16 Apr 2024
Epistemic Uncertainty Quantification For Pre-trained Neural Network Hanjing Wang Qiang Ji UQCV 150 6 0 15 Apr 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification Hai-Vy Nguyen Fabrice Gamboa Reda Chhaibi Sixin Zhang Serge Gratton Thierry Giaccone FedML UQCV 209 1 0 12 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 289 14 0 08 Apr 2024
On the Estimation of Image-matching Uncertainty in Visual Place Recognition Mubariz Zaffar Liangliang Nan Julian F. P. Kooij 187 10 0 31 Mar 2024
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation Qi Bi Shaodi You Theo Gevers 230 1 0 29 Mar 2024
SCOD: From Heuristics to Theory Vojtech Franc Jakub Paplhám D. Prusa 158 3 0 25 Mar 2024
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data Francisco Mena Diego Arenas A. Dengel 169 2 0 25 Mar 2024
Enabling Uncertainty Estimation in Iterative Neural Networks Nikita Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 691 11 0 25 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 292 12 0 25 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger Marc Pouly Alexander A. Navarini 184 3 0 22 Mar 2024
Koopman Ensembles for Probabilistic Time Series ForecastingEuropean Signal Processing Conference (EUSIPCO), 2024 Anthony Frion Lucas Drumetz Guillaume Tochon M. Dalla Mura Albdeldjalil Aissa El Bey AI4TS 118 2 0 11 Mar 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 462 20 0 11 Mar 2024