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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 / 576 papers shown

Title
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
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 208 1 0 06 Mar 2024
A prediction rigidity formalism for low-cost uncertainties in trained neural networks Filippo Bigi Sanggyu Chong Michele Ceriotti Federico Grasselli 172 11 0 04 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Kushagra Pandey Robert Bamler Sina Daubener ... Yixin Wang F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin 728 40 0 28 Feb 2024
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data David S. W. Williams Daniele De Martini Matthew Gadd Paul Newman UQCV 198 6 0 27 Feb 2024
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling David S. W. Williams Matthew Gadd Paul Newman Daniele De Martini UQCV 107 1 0 27 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 304 27 0 23 Feb 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 329 3 0 21 Feb 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles Oleksandr Balabanov Hampus Linander UQCV 459 26 0 19 Feb 2024
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules Nikita Kotelevskii Maxim Panov PER UQCV UD 354 3 0 16 Feb 2024
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers Hong Jia Young D. Kwon Dong Ma Nhat Pham Lorena Qendro Tam N. Vu Cecilia Mascolo 197 5 0 14 Feb 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? Mira Jürgens Nis Meinert Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV UD PER EDL BDL 219 26 0 14 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Qiufeng Wang Qinghua Hu 197 6 0 13 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 297 11 0 12 Feb 2024
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Shanshan Xu Santosh T.Y.S.S O. Ichim Barbara Plank Matthias Grabmair 297 6 0 11 Feb 2024
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning Alex C. Stutts Danilo Erricolo Theja Tulabandhula A. R. Trivedi EDL UQCV 196 0 0 11 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen J. Jon Ryu Soumya Ghosh Yuheng Bu P. Sattigeri Subhro Das Greg Wornell EDL BDL UQCV 203 8 0 09 Feb 2024
uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties Kshitij Sirohi Daniel Buscher Wolfram Burgard 203 1 0 08 Feb 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu Lei Feng Huiping Zhuang Xiaofeng Cao Jianguo Huang 300 3 0 08 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?International Conference on Learning Representations (ICLR), 2024 Xuefeng Du Zhen Fang Ilias Diakonikolas Shouqing Yang OODD 232 33 0 05 Feb 2024
An Information-Theoretic Approach to Analyze NLP Classification Tasks Luran Wang Mark Gales Vatsal Raina 224 2 0 01 Feb 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects Florian Bley Sebastian Lapuschkin Wojciech Samek G. Montavon 214 4 0 30 Jan 2024
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration Chuxiong Sun Zehua Zang Jiabao Li Jiangmeng Li Xiao Xu Rui Wang Changwen Zheng 115 18 0 19 Jan 2024
Learning Shortcuts: On the Misleading Promise of NLU in Language Models Geetanjali Bihani Julia Taylor Rayz 250 4 0 17 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 218 16 0 14 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning Kuo Yang Duo Li Menghan Hu Guangtao Zhai Yunbo Wang Xiao-Ping Zhang 174 0 0 09 Jan 2024
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification Shuge Lei Haonan Hu Desheng Sun Huabin Zhang Kehong Yuan Jian Dai Jijun Tang Yan Tong 260 0 0 08 Jan 2024
Uncertainty Regularized Evidential RegressionAAAI Conference on Artificial Intelligence (AAAI), 2024 Kai Ye Tiejin Chen Hua Wei Chen Tang UQCV EDL 202 11 0 03 Jan 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 193 15 0 23 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii Samuel Horváth Karthik Nandakumar Martin Takáč Maxim Panov UQCV FedML OOD 153 13 0 18 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsComputer Vision and Pattern Recognition (CVPR), 2023 Omer Yair E. Nehme T. Michaeli UQCV 235 3 0 12 Dec 2023
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification Jamil Fayyad Shadi Alijani Homayoun Najjaran OOD 404 15 0 12 Dec 2023
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images Prithvijit Chattopadhyay Bharat Goyal B. Ecsedi Viraj Prabhu Judy Hoffman 235 2 0 11 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain ShiftsComputer Vision and Pattern Recognition (CVPR), 2023 Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 247 27 0 05 Dec 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yue Song Andrii Zadaianchuk Wei Wang OODD 290 3 0 23 Nov 2023
Evidential Uncertainty Quantification: A Variance-Based Perspective Ruxiao Duan B. Caffo Harrison X. Bai Haris I. Sair Craig K. Jones UD EDL UQCV BDL PER 215 20 0 19 Nov 2023
Bayesian Neural Networks: A Min-Max Game Framework Junping Hong E. Kuruoglu 236 0 0 18 Nov 2023
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission Jianfeng He Linlin Yu Shuo Lei Chang-Tien Lu Feng Chen UQLM 292 13 0 15 Nov 2023
Decomposing Uncertainty for Large Language Models through Input Clarification EnsemblingInternational Conference on Machine Learning (ICML), 2023 Bairu Hou Yujian Liu Kaizhi Qian Jacob Andreas Shiyu Chang Yang Zhang UD UQCV PER 317 93 0 15 Nov 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 362 3 0 15 Nov 2023
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Sepp Hochreiter 151 18 0 14 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 195 0 0 11 Nov 2023
Early-Exit Neural Networks with Nested Prediction SetsConference on Uncertainty in Artificial Intelligence (UAI), 2023 Metod Jazbec Patrick Forré Stephan Mandt Dan Zhang Eric T. Nalisnick UQCV 187 2 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based RegularizationNeural Information Processing Systems (NeurIPS), 2023 Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 210 6 0 10 Nov 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward MaximizationNeural Information Processing Systems (NeurIPS), 2023 Hongzheng Yang Cheng Chen Yueyao Chen Markus Scheppach Hon-Chi Yip Qi Dou EDL UQCV 176 10 0 05 Nov 2023
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities Wenchong He Zhe Jiang 188 1 0 04 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoringEnvironmental Data Science (EDS), 2023 Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 478 16 0 01 Nov 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent RepresentationsNeural Information Processing Systems (NeurIPS), 2023 Tsai Hor Chan Kin Wai Lau Jiajun Shen Guosheng Yin Lequan Yu UQCV OOD 212 2 0 25 Oct 2023
Knowledge from Uncertainty in Evidential Deep Learning Cai Davies Marc Roig Vilamala Alun D. Preece Federico Cerutti Lance M. Kaplan Supriyo Chakraborty EDL 127 2 0 19 Oct 2023
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting Guande He Peng Cui Jianfei Chen Wenbo Hu Jun Zhu 215 14 0 18 Oct 2023