v1v2 (latest)

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

17 June 2020

Balaji Lakshminarayanan

UQCV

BDL

ArXiv (abs)PDF HTML

Papers citing "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness"

50 / 362 papers shown

Title
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study Yufei Li Simin Chen Yanghong Guo Wei Yang Yue Dong Cong Liu UQCV 87 3 0 12 Jan 2024
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection Prakash Mallick Feras Dayoub Jamie Sherrah 78 1 0 10 Jan 2024
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation Melrose Roderick Felix Berkenkamp Fatemeh Sheikholeslami Zico Kolter UQCV 61 0 0 29 Dec 2023
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking Jacob Eisenstein Chirag Nagpal Alekh Agarwal Ahmad Beirami Alex DÁmour ... Katherine Heller Stephen Pfohl Deepak Ramachandran Peter Shaw Jonathan Berant 161 116 0 14 Dec 2023
Thermodynamic Computing System for AI Applications Denis Melanson M. A. Khater Maxwell Aifer Kaelan Donatella Max Hunter Gordon Thomas Dybdahl Ahle Gavin Crooks Antonio J. Martinez Faris M. Sbahi Patrick J. Coles AI4CE 90 18 0 08 Dec 2023
Transferable Candidate Proposal with Bounded Uncertainty Kyeongryeol Go Kye-Hyeon Kim 113 1 0 07 Dec 2023
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission Jianfeng He Linlin Yu Shuo Lei Chang-Tien Lu Feng Chen UQLM 93 10 0 15 Nov 2023
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Sepp Hochreiter 99 14 0 14 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 90 5 0 10 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 170 16 0 02 Nov 2023
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows Simon Dirmeier Ye Hong Yanan Xin Fernando Pérez-Cruz UQCV 100 1 0 01 Nov 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 115 36 0 09 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness Fran Jelenić Josip Jukić Martin Tutek Mate Puljiz Jan vSnajder OODD 116 7 0 04 Oct 2023
Uncertainty Aware Deep Learning for Particle Accelerators Kishansingh Rajput Malachi Schram Karthik Somayaji 47 2 0 25 Sep 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications John S. Schreck D. Gagne Charlie Becker William E. Chapman K. Elmore ... Vanessa M. Pryzbylo Jacob T. Radford B. Saavedra Justin Willson Christopher D. Wirz BDL UD OOD UQCV EDL 75 11 0 22 Sep 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition Haoxuan Qu Xiaofei Hui Yujun Cai Jun Liu 175 11 0 22 Sep 2023
PAGER: A Framework for Failure Analysis of Deep Regression Models Jayaraman J. Thiagarajan V. Narayanaswamy Puja Trivedi Rushil Anirudh 98 0 0 20 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 117 3 0 19 Sep 2023
Closing the Loop on Runtime Monitors with Fallback-Safe MPC Rohan Sinha Edward Schmerling Marco Pavone 261 14 0 15 Sep 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 124 3 0 14 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 99 5 0 14 Sep 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification Jacopo Talpini Fabio Sartori Marco Savi 101 6 0 05 Sep 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration Jongyoun Noh Hyekang Park Junghyup Lee Bumsub Ham UQCV 102 13 0 23 Aug 2023
Deep Evidential Learning for Bayesian Quantile Regression F. B. Hüttel Filipe Rodrigues Francisco Câmara Pereira UD EDL BDL UQCV 86 7 0 21 Aug 2023
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance Sourya Dipta Das Yash Vadi Abhishek Unnam Kuldeep Yadav 53 1 0 09 Aug 2023
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets Wenlong Lyu Shoubo Hu Jie Chuai Zhitang Chen 71 2 0 09 Aug 2023
ELFNet: Evidential Local-global Fusion for Stereo Matching Jieming Lou Weide Liu Zhu Chen Fayao Liu Jun Cheng 115 30 0 01 Aug 2023
Uncertainty in Natural Language Generation: From Theory to Applications Joris Baan Nico Daheim Evgenia Ilia Dennis Ulmer Haau-Sing Li Raquel Fernández Barbara Plank Rico Sennrich Chrysoula Zerva Wilker Aziz UQLM 187 49 0 28 Jul 2023
Multi-layer Aggregation as a key to feature-based OOD detection Benjamin Lambert Florence Forbes Senan Doyle M. Dojat 83 6 0 28 Jul 2023
A comparison of machine learning surrogate models of street-scale flooding in Norfolk, Virginia Diana McSpadden S. Goldenberg Bina Roy M. Schram J. Goodall H. Lipford AI4CE 71 6 0 26 Jul 2023
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty Futoshi Futami Tomoharu Iwata UD PER 90 4 0 23 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 80 12 0 19 Jul 2023
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models Agnimitra Sengupta Sudeepta Mondal A. Das S. I. Guler BDL UQCV 69 17 0 12 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof Bálint Mucsányi Seong Joon Oh Enkelejda Kasneci UQCV 748 15 0 07 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Günter Klambauer Sepp Hochreiter UQCV 126 23 0 06 Jul 2023
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions S. Goldenberg M. Schram Kishansingh Rajput T. Britton C. Pappas Dawei Lu Jared Walden M. Radaideh Sarah Cousineau S. Harave 87 1 0 05 Jul 2023
Morse Neural Networks for Uncertainty Quantification Benoit Dherin Huiyi Hu Jie Jessie Ren Michael W. Dusenberry Balaji Lakshminarayanan UQCV AI4CE 69 5 0 02 Jul 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD 101 7 0 26 Jun 2023
Density Uncertainty Layers for Reliable Uncertainty Estimation Yookoon Park David M. Blei UQCV BDL 114 3 0 21 Jun 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann P. Becker Michael Volpp Gerhard Neumann UQCV 138 19 0 21 Jun 2023
Uncertainty Estimation for Molecules: Desiderata and Methods Tom Wollschlager Nicholas Gao Bertrand Charpentier Mohamed Amine Ketata Stephan Günnemann 113 12 0 20 Jun 2023
Towards Stability of Autoregressive Neural Operators Michael McCabe P. Harrington Shashank Subramanian Jed Brown AI4CE 213 27 0 18 Jun 2023
Mitigating Transformer Overconfidence via Lipschitz Regularization Wenqian Ye Yunsheng Ma Xu Cao Kun Tang 96 14 0 12 Jun 2023
Kepler: Robust Learning for Faster Parametric Query Optimization Lyric Doshi Vincent Zhuang Gaurav Jain Ryan Marcus Haoyu Huang Deniz Altinbüken E. Brevdo Campbell Fraser 79 25 0 11 Jun 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing Ziyan Wang Hao Wang UQCV 195 0 0 11 Jun 2023
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models Jiazheng Li ZHAOYUE SUN Bin Liang Lin Gui Yulan He 85 2 0 06 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 146 6 0 02 Jun 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Zou Carlos Guestrin 149 24 0 29 May 2023
Training Private Models That Know What They Don't Know Stephan Rabanser Anvith Thudi Abhradeep Thakurta Krishnamurthy Dvijotham Nicolas Papernot 107 7 0 28 May 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 177 1 0 26 May 2023