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"

24 / 24 papers shown

Title
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 85 0 0 27 Apr 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 574 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 106 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 85 0 0 27 Feb 2025
Interpretable Failure Detection with Human-Level Concepts Kien X. Nguyen Tang Li Xi Peng 48 0 0 07 Feb 2025
A Unified Evaluation Framework for Epistemic Predictions Shireen Kudukkil Manchingal Muhammad Mubashar Kaizheng Wang Fabio Cuzzolin UQCV 53 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 79 1 0 25 Nov 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 52 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 63 6 0 23 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 28 11 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 24 4 0 06 Mar 2024
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 11 2 0 19 Sep 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 19 6 0 19 Jul 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 51 1 0 26 May 2023
Robust Fusion for Bayesian Semantic Mapping David Morilla-Cabello Lorenzo Mur-Labadia Ruben Martinez-Cantin Eduardo Montijano 31 11 0 14 Mar 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 22 7 0 18 Feb 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien C. Pehlevan MLT AI4CE 18 6 0 26 Jan 2023
Evolutionary Generalized Zero-Shot Learning Dubing Chen Haofeng Zhang Yang Long VLM 16 1 0 23 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 12 11 0 09 Nov 2022
Uncertainty-aware LiDAR Panoptic Segmentation Kshitij Sirohi Sajad Marvi Daniel Buscher Wolfram Burgard 3DPC UQCV 27 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 64 94 0 30 Sep 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 195 81 0 16 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015