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

17 June 2020

Balaji Lakshminarayanan

UQCV

BDL

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

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Title
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia C. Bouganis UQCV 52 12 0 14 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 34 6 0 10 Mar 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift Yu-Hui Zou Weijian Deng Liang Zheng OODD 17 2 0 09 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 28 98 0 06 Mar 2023
Calibrating Transformers via Sparse Gaussian Processes Wenlong Chen Yingzhen Li UQCV 32 12 0 04 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 19 18 0 26 Feb 2023
Guided Deep Kernel Learning Idan Achituve Gal Chechik Ethan Fetaya BDL 31 5 0 19 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 22 2 0 17 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 49 86 0 16 Feb 2023
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization R. Rathnakumar Yutian Pang Yongming Liu 22 7 0 14 Feb 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers Jaeyoung Kim Dongbin Na Sungchul Choi Sungbin Lim VLM 38 5 0 13 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 15 6 0 13 Feb 2023
Confidence-based Reliable Learning under Dual Noises Peng Cui Yang Yue Zhijie Deng Jun Zhu NoLa 33 8 0 10 Feb 2023
Fortuna: A Library for Uncertainty Quantification in Deep Learning Gianluca Detommaso Alberto Gasparin Michele Donini Matthias Seeger A. Wilson Cédric Archambeau UQCV BDL 36 14 0 08 Feb 2023
Variational Inference on the Final-Layer Output of Neural Networks Yadi Wei R. Khardon BDL UQCV 29 0 0 05 Feb 2023
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification Zi Lin J. Liu Jingbo Shang UQLM 24 5 0 26 Jan 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection Jaeyoung Kim Seo Taek Kong Dongbin Na Kyu-Hwan Jung OODD 18 4 0 26 Dec 2022
Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL Bin Wang Yan Gao Zhoujun Li Jian-Guang Lou 26 6 0 17 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 24 7 0 10 Dec 2022
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization Neslihan Kose R. Krishnan Akash Dhamasia Omesh Tickoo Michael Paulitsch 32 1 0 09 Dec 2022
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS Gary Tom Riley J. Hickman Aniket N. Zinzuwadia A. Mohajeri Benjamín Sánchez-Lengeling A. Aspuru‐Guzik 21 16 0 03 Dec 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings N. Durasov Nik Dorndorf Pascal Fua VLM 21 5 0 21 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 27 10 0 21 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 78 2 0 18 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 29 11 0 09 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 28 5 0 04 Nov 2022
On double-descent in uncertainty quantification in overparametrized models Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 46 12 0 23 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 4 0 21 Oct 2022
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 32 209 0 19 Oct 2022
Uncertainty estimation for out-of-distribution detection in computational histopathology Lea Goetz OOD 29 0 0 18 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations Denis Huseljic M. Herde Lukas Rauch Paul Hahn Zhixin Huang D. Kottke S. Vogt Bernhard Sick BDL 16 0 0 12 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du UQCV EDL 57 12 0 06 Oct 2022
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks Huimin Zeng Zhenrui Yue Yang Zhang Ziyi Kou Lanyu Shang Dong Wang OOD AAML 33 7 0 03 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 94 0 30 Sep 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip Torr P. Dokania Ser-Nam Lim OODD 21 4 0 24 Sep 2022
Query-based Hard-Image Retrieval for Object Detection at Test Time Edward W. Ayers Jonathan Sadeghi John Redford Romain Mueller P. Dokania 25 1 0 23 Sep 2022
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography W. E. Kerzendorf Nutan Chen Jack O'Brien J. Buchner Patrick van der Smagt MedIm 12 0 0 20 Sep 2022
Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks J. Haas William Yolland B. Rabus OODD 43 14 0 17 Sep 2022
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt Nassir Navab Benjamin Busam F. Tombari 43 8 0 12 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 31 29 0 29 Aug 2022
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu 25 86 0 27 Aug 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 35 0 0 24 Aug 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers Sangwoong Yoon Jinwon Choi Yonghyeon Lee Yung-Kyun Noh Frank C. Park OODD 19 1 0 20 Aug 2022
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry M. Penrod Harrison Termotto Varshini Reddy Jiayu Yao Finale Doshi-Velez Weiwei Pan AAML OOD 40 1 0 02 Aug 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 24 18 0 20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 34 3 0 17 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 39 124 0 15 Jul 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 43 34 0 13 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 27 30 0 13 Jul 2022