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

17 June 2020

Balaji Lakshminarayanan

UQCV

BDL

ArXiv PDF HTML

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

50 / 296 papers shown

Title
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 52 3 0 09 Jul 2022
Pre-training helps Bayesian optimization too Z. Wang George E. Dahl Kevin Swersky Chansoo Lee Zelda E. Mariet Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 22 9 0 07 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 30 34 0 29 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 29 0 0 27 Jun 2022
Uncertainty Calibration for Deep Audio Classifiers Tong Ye Shijing Si Jianzong Wang Ning Cheng Jing Xiao UQCV 16 0 0 27 Jun 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 11 0 0 22 Jun 2022
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective Gleb Bazhenov Sergei Ivanov Maxim Panov Alexey Zaytsev Evgeny Burnaev UQCV 33 9 0 21 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation Tao Sun Mattia Segu Janis Postels Yuxuan Wang Luc Van Gool Bernt Schiele F. Tombari F. I. F. Richard Yu TTA 41 149 0 16 Jun 2022
Hard Negative Sampling Strategies for Contrastive Representation Learning Afrina Tabassum Muntasir Wahed Hoda Eldardiry Ismini Lourentzou SSL 27 24 0 02 Jun 2022
Excess risk analysis for epistemic uncertainty with application to variational inference Futoshi Futami Tomoharu Iwata N. Ueda Issei Sato Masashi Sugiyama UQCV 25 1 0 02 Jun 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation Mehmet Özgür Türkoglu Alexander Becker H. Gündüz Mina Rezaei Bernd Bischl Rodrigo Caye Daudt Stefano Dáronco Jan Dirk Wegner Konrad Schindler FedML UQCV 38 25 0 31 May 2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image Lucy Nwosu Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 34 3 0 27 May 2022
Leveraging Causal Inference for Explainable Automatic Program Repair Jianzong Wang Shijing Si Z. Zhu Xiaoyang Qu Zhenhou Hong Jing Xiao 27 3 0 26 May 2022
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating David Macêdo Cleber Zanchettin Teresa B Ludermir UQCV 28 4 0 12 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Wenlin Chen Austin Tripp José Miguel Hernández-Lobato 22 23 0 05 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 33 6 0 02 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 26 48 0 01 May 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees Wenying Deng Beau Coker Rajarshi Mukherjee J. Liu B. Coull 17 2 0 15 Apr 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 72 2,330 0 12 Apr 2022
Bayesian Deep Learning with Multilevel Trace-class Neural Networks Neil K. Chada Ajay Jasra K. Law Sumeetpal S. Singh BDL UQCV 83 3 0 24 Mar 2022
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning René Zurbrugg Hermann Blum Cesar Cadena Roland Siegwart L. Schmid SSeg 41 21 0 01 Mar 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks A. Nguyen Fred Lu Gary Lopez Munoz Edward Raff Charles K. Nicholas James Holt UQCV 21 21 0 18 Feb 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 44 59 0 14 Feb 2022
Theoretical characterization of uncertainty in high-dimensional linear classification Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová 39 20 0 07 Feb 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
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 30 7 0 03 Feb 2022
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging Taoli Cheng Aaron Courville 27 6 0 18 Jan 2022
Explaining Predictive Uncertainty by Looking Back at Model Explanations Hanjie Chen Wanyu Du Yangfeng Ji 23 2 0 11 Jan 2022
Estimating Uncertainty For Vehicle Motion Prediction on Yandex Shifts Dataset Alexey Pustynnikov D. Eremeev 8 5 0 15 Dec 2021
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer Shiye Lei Zhuozhuo Tu Leszek Rutkowski Feng Zhou Li Shen Fengxiang He Dacheng Tao BDL 23 2 0 12 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 19 4 0 30 Nov 2021
DeDUCE: Generating Counterfactual Explanations Efficiently Benedikt Höltgen Lisa Schut J. Brauner Y. Gal CML 23 6 0 29 Nov 2021
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift Kehang Han Balaji Lakshminarayanan J. Liu OOD GNN 17 33 0 25 Nov 2021
Uncertainty Aware Proposal Segmentation for Unknown Object Detection Yimeng Li Jana Kosecka UQCV 36 19 0 25 Nov 2021
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model Jing Zhang Yuchao Dai Mehrtash Harandi Yiran Zhong Nick Barnes Richard I. Hartley UQCV 27 1 0 22 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Yan Sun 51 15 0 16 Nov 2021
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning Runa Eschenhagen Erik A. Daxberger Philipp Hennig Agustinus Kristiadi UQCV BDL 30 22 0 05 Nov 2021
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation Mrinal Rawat R. Hebbalaguppe L. Vig OODD 6 10 0 31 Oct 2021
Deep Deterministic Uncertainty for Semantic Segmentation Jishnu Mukhoti Joost R. van Amersfoort Philip Torr Y. Gal BDL UQCV 57 28 0 29 Oct 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 19 6 0 28 Oct 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition Junjiao Tian Dylan Yung Yen-Chang Hsu Z. Kira 25 23 0 27 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu Sungsoo Ahn Le Song Jinwoo Shin OffRL 27 31 0 27 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 80 0 26 Oct 2021
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator S. Javed Pradeep Ramuhalli Arif Mahmood Yigit Yucesan Alexander Zhukov M. Schram Kishansingh Rajput Torri Jeske 24 15 0 22 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty Jeffrey Willette Haebeom Lee Juho Lee Sung Ju Hwang OODD OOD 36 1 0 12 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 48 48 0 06 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 34 11 0 06 Oct 2021
$Δ$ -UQ: Accurate Uncertainty Quantification via Anchor Marginalization Rushil Anirudh Jayaraman J. Thiagarajan 36 1 0 05 Oct 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 27 12 0 30 Sep 2021
Pre-trained Gaussian processes for Bayesian optimization Z. Wang George E. Dahl Kevin Swersky Chansoo Lee Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 59 40 0 16 Sep 2021