v1v2 (latest)

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

14 May 2020

Michael W. Dusenberry

Balaji Lakshminarayanan

Papers citing "Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors"

50 / 168 papers shown

Title
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 71 1 0 12 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof Bálint Mucsányi Seong Joon Oh Enkelejda Kasneci UQCV 491 15 0 07 Jul 2023
Introspective Perception for Mobile Robots Sadegh Rabiee Joydeep Biswas 75 4 0 29 Jun 2023
Density Uncertainty Layers for Reliable Uncertainty Estimation Yookoon Park David M. Blei UQCV BDL 53 2 0 21 Jun 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann P. Becker Michael Volpp Gerhard Neumann UQCV 87 16 0 21 Jun 2023
Traversing Between Modes in Function Space for Fast Ensembling Eunggu Yun Hyungi Lee G. Nam Juho Lee UQCV 62 3 0 20 Jun 2023
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance Dongyi Zhang Feng Li Man Liu Runmin Cong H. Bai Ming Wang Yao-Min Zhao 67 8 0 15 Jun 2023
A Dynamic Feature Interaction Framework for Multi-task Visual Perception Yuling Xi Hao Chen Ning Wang Peng Wang Yanning Zhang Chunhua Shen Yifan Liu 94 6 0 08 Jun 2023
Online Black-Box Confidence Estimation of Deep Neural Networks Fabian Woitschek G. Schneider UQCV 63 1 0 27 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 185 6 0 13 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 75 5 0 11 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 125 37 0 10 Feb 2023
Flat Seeking Bayesian Neural Networks Van-Anh Nguyen L. Vuong Hoang Phan Thanh-Toan Do Dinh Q. Phung Trung Le BDL 100 10 0 06 Feb 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 76 0 0 27 Dec 2022
Calibrating AI Models for Wireless Communications via Conformal Prediction K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 109 6 0 15 Dec 2022
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization Neslihan Kose R. Krishnan Akash Dhamasia Omesh Tickoo Michael Paulitsch 58 1 0 09 Dec 2022
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks Neil Band Tim G. J. Rudner Qixuan Feng Angelos Filos Zachary Nado Michael W. Dusenberry Ghassen Jerfel Dustin Tran Y. Gal OOD UQCV BDL 54 54 0 23 Nov 2022
Weighted Ensemble Self-Supervised Learning Yangjun Ruan Saurabh Singh Warren Morningstar Alexander A. Alemi Sergey Ioffe Ian S. Fischer Joshua V. Dillon FedML 83 16 0 18 Nov 2022
On the Performance of Direct Loss Minimization for Bayesian Neural Networks Yadi Wei Roni Khardon BDL 47 3 0 15 Nov 2022
Do Bayesian Neural Networks Need To Be Fully Stochastic? Mrinank Sharma Sebastian Farquhar Eric T. Nalisnick Tom Rainforth BDL 80 57 0 11 Nov 2022
On the optimization and pruning for Bayesian deep learning X. Ke Yanan Fan BDL UQCV 75 1 0 24 Oct 2022
Uncertainty estimation for out-of-distribution detection in computational histopathology Lea Goetz OOD 66 0 0 18 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation Olivier Laurent Adrien Lafage Enzo Tartaglione Geoffrey Daniel Jean-Marc Martinez Andrei Bursuc Gianni Franchi OODD 142 32 0 17 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 110 90 0 05 Oct 2022
On the detrimental effect of invariances in the likelihood for variational inference Richard Kurle R. Herbrich Tim Januschowski Bernie Wang Jan Gasthaus 67 10 0 15 Sep 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 69 18 0 20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 73 1 0 18 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 134 126 0 15 Jul 2022
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach Vishnu Raj Tianyu Cui Markus Heinonen Pekka Marttinen UQCV BDL 35 1 0 04 Jul 2022
Transfer learning for ensembles: reducing computation time and keeping the diversity Ilya Shashkov Nikita Balabin Evgeny Burnaev Alexey Zaytsev 95 1 0 27 Jun 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 90 3 0 26 Jun 2022
Cold Posteriors through PAC-Bayes Konstantinos Pitas Julyan Arbel 89 5 0 22 Jun 2022
Towards Better Selective Classification Leo Feng Mohamed Osama Ahmed Hossein Hajimirsadeghi A. Abdi 77 23 0 17 Jun 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Javier Antorán David Janz J. Allingham Erik A. Daxberger Riccardo Barbano Eric T. Nalisnick José Miguel Hernández-Lobato UQCV BDL 96 31 0 17 Jun 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling Jiri Hron Roman Novak Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 84 7 0 15 Jun 2022
Tackling covariate shift with node-based Bayesian neural networks Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski BDL UQCV 59 6 0 06 Jun 2022
Feature Space Particle Inference for Neural Network Ensembles Shingo Yashima Teppei Suzuki Kohta Ishikawa Ikuro Sato Rei Kawakami BDL 66 11 0 02 Jun 2022
Masked Bayesian Neural Networks : Computation and Optimality Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Yongdai Kim TPM 51 1 0 02 Jun 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi Runa Eschenhagen Philipp Hennig BDL 90 13 0 20 May 2022
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation Chih-Hong Cheng Changshun Wu Emmanouil Seferis Saddek Bensalem 130 3 0 16 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 231 51 0 01 May 2022
Deep Ensemble as a Gaussian Process Approximate Posterior Zhijie Deng Feng Zhou Jianfei Chen Guoqiang Wu Jun Zhu UQCV 41 5 0 30 Apr 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor Wesley J. Maddox Pavel Izmailov A. Wilson BDL UD 94 51 0 30 Mar 2022
Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 89 5 0 03 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi Xuanlong Yu Andrei Bursuc Ángel Tena Rémi Kazmierczak Séverine Dubuisson Emanuel Aldea David Filliat UQCV 92 28 0 02 Mar 2022
Embedded Ensembles: Infinite Width Limit and Operating Regimes Maksim Velikanov Roma Kail Ivan Anokhin Roman Vashurin Maxim Panov Alexey Zaytsev Dmitry Yarotsky 47 1 0 24 Feb 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data Beau Coker W. Bruinsma David R. Burt Weiwei Pan Finale Doshi-Velez UQCV BDL 89 24 0 23 Feb 2022
On Optimal Early Stopping: Over-informative versus Under-informative Parametrization Ruoqi Shen Liyao (Mars) Gao Yi-An Ma 33 13 0 20 Feb 2022
Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks Jurijs Nazarovs Ronak R. Mehta Vishnu Suresh Lokhande Vikas Singh UQCV BDL OOD 48 5 0 19 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 288 66 0 07 Feb 2022