Deep Deterministic Uncertainty: A Simple Baseline

23 February 2021

Jishnu Mukhoti

Andreas Kirsch

Joost R. van Amersfoort

Papers citing "Deep Deterministic Uncertainty: A Simple Baseline"

35 / 35 papers shown

Title
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Luu Anh Tuan Yixiu Mao Yiqin Lv Xiangyang Ji TTA 90 0 0 27 Apr 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 658 0 0 09 Apr 2025
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding Jinlong Li Cristiano Saltori Fabio Poiesi N. Sebe 192 0 0 20 Mar 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach Chen-Chen Zong Sheng-Jun Huang EDL 92 0 0 27 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 66 0 0 24 Feb 2025
Interpretable Failure Detection with Human-Level Concepts Kien X. Nguyen Tang Li Xi Peng 53 0 0 07 Feb 2025
A Unified Evaluation Framework for Epistemic Predictions Shireen Kudukkil Manchingal Muhammad Mubashar Kaizheng Wang Fabio Cuzzolin UQCV 67 2 0 28 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 60 0 0 02 Jul 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 85 0 0 23 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection Jianfeng He Hang Su Jason (Jinglun) Cai Igor Shalyminov Hwanjun Song Saab Mansour 32 4 0 06 Mar 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation S. Landgraf Markus Hillemann Theodor Kapler Markus Ulrich UQCV 28 8 0 16 Feb 2024
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 35 2 0 19 Sep 2023
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker UQCV 21 6 0 04 Aug 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 26 6 0 19 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi G. Klambauer Sepp Hochreiter UQCV 42 14 0 06 Jul 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Zou Carlos Guestrin 32 20 0 29 May 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 64 1 0 26 May 2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing M. Hasan Moloud Abdar Abbas Khosravi U. Aickelin Pietro Lio Ibrahim Hossain Ashikur Rahman Saeid Nahavandi 35 4 0 11 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation Michael J. Smith F. Ferrie OOD UQCV 35 0 0 04 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and Distributions Keller Jordan OOD 24 10 0 04 Apr 2023
Robust Fusion for Bayesian Semantic Mapping David Morilla-Cabello Lorenzo Mur-Labadia Ruben Martinez-Cantin Eduardo Montijano 44 11 0 14 Mar 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 19 3 0 27 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 43 8 0 18 Feb 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien Cengiz Pehlevan MLT AI4CE 25 6 0 26 Jan 2023
Evolutionary Generalized Zero-Shot Learning Dubing Chen Haofeng Zhang Yang Long VLM 34 1 0 23 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 29 11 0 09 Nov 2022
Uncertainty-aware LiDAR Panoptic Segmentation Kshitij Sirohi Sajad Marvi Daniel Buscher Wolfram Burgard 3DPC UQCV 34 6 0 10 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 72 96 0 30 Sep 2022
ScaleFace: Uncertainty-aware Deep Metric Learning Roma Kail Kirill Fedyanin Nikita Muravev Alexey Zaytsev Maxim Panov CVBM UQCV 30 5 0 05 Sep 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 11 3 0 04 Jul 2022
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 204 81 0 16 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015