Understanding Softmax Confidence and Uncertainty

Understanding Softmax Confidence and Uncertainty

9 June 2021

Alexandra Brintrup

Jun Zhu

Papers citing "Understanding Softmax Confidence and Uncertainty"

17 / 17 papers shown

Title
OODTE: A Differential Testing Engine for the ONNX Optimizer Nikolaos Louloudakis Ajitha Rajan 44 0 0 03 May 2025
Taking Class Imbalance Into Account in Open Set Recognition Evaluation Joanna Komorniczak Pawel Ksieniewicz 25 0 0 09 Feb 2024
Confidence Preservation Property in Knowledge Distillation Abstractions Dmitry Vengertsev Elena Sherman 35 0 0 21 Jan 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 29 12 0 05 Dec 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 49 5 0 22 Aug 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 16 5 0 19 Jun 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Y. Zou Carlos Guestrin 32 20 0 29 May 2023
Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning Haocheng Lei A. Bellotti 18 6 0 02 Feb 2023
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS Rishabh Singh José C. Príncipe UQCV 28 3 0 03 Nov 2022
Curved Representation Space of Vision Transformers Juyeop Kim Junha Park Songkuk Kim Jongseok Lee ViT 33 6 0 11 Oct 2022
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models Julius Gonsior C. Falkenberg Silvio Magino Anja Reusch Maik Thiele Wolfgang Lehner UQCV 36 7 0 06 Oct 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 16 27 0 15 Jul 2022
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė Gabriel Eilertsen Sofia Jarkman Claes Lundström OOD UQCV 25 24 0 17 Dec 2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 25 30 0 31 Oct 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip H. S. Torr Y. Gal UD UQCV PER BDL 24 145 0 23 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015