Density-Softmax: Efficient Test-time Model for Uncertainty Estimation
and Robustness under Distribution Shifts

Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts

13 February 2023

Papers citing "Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts"

11 / 11 papers shown

Title
Disentangling Uncertainties by Learning Compressed Data Representation Zhiyu An Zhibo Hou Wan Du UQCV UD 71 0 0 20 Mar 2025
On the challenges of detecting MCI using EEG in the wild Aayush Mishra David Joffe Sankara Surendra Telidevara David S Oakley Anqi Liu 46 0 0 15 Jan 2025
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits H. Bui Enrique Mallada Anqi Liu 114 0 0 08 Nov 2024
Source-Free Domain-Invariant Performance Prediction Ekaterina Khramtsova Mahsa Baktashmotlagh Guido Zuccon Xi Wang Mathieu Salzmann UQCV 48 1 0 05 Aug 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 60 0 0 02 Jul 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts H. Bui Anqi Liu OOD BDL UQCV 46 4 0 07 Mar 2024
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 56 25 0 07 Feb 2022
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 181 53 0 19 May 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015