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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
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 79 7 0 03 Feb 2022
Nonlinear Initialization Methods for Low-Rank Neural Networks Kiran Vodrahalli Rakesh Shivanna M. Sathiamoorthy Sagar Jain Ed H. Chi 58 4 0 02 Feb 2022
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer Shiye Lei Zhuozhuo Tu Leszek Rutkowski Feng Zhou Li Shen Fengxiang He Dacheng Tao BDL 75 2 0 12 Dec 2021
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 104 7 0 08 Dec 2021
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks J. Holodnak Allan B. Wollaber UQCV BDL 29 0 0 07 Dec 2021
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems Meet P. Vadera Benjamin M. Marlin UQCV BDL 35 5 0 03 Dec 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Yan Sun 81 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 73 23 0 05 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 120 89 0 26 Oct 2021
Balancing Value Underestimation and Overestimation with Realistic Actor-Critic Sicen Li Qinyun Tang G. Wang Xinmeng Ma Li-quan Wang OffRL 48 4 0 19 Oct 2021
Pathologies in priors and inference for Bayesian transformers Tristan Cinquin Alexander Immer Max Horn Vincent Fortuin UQCV BDL MedIm 110 10 0 08 Oct 2021
Sparse MoEs meet Efficient Ensembles J. Allingham F. Wenzel Zelda E. Mariet Basil Mustafa J. Puigcerver ... Balaji Lakshminarayanan Jasper Snoek Dustin Tran Carlos Riquelme Ruiz Rodolphe Jenatton MoE 78 21 0 07 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 150 55 0 06 Oct 2021
Training on Test Data with Bayesian Adaptation for Covariate Shift Aurick Zhou Sergey Levine OOD TTA 112 13 0 27 Sep 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 83 47 0 03 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 98 12 0 02 Aug 2021
Soft Calibration Objectives for Neural Networks A. Karandikar Nicholas Cain Dustin Tran Balaji Lakshminarayanan Jonathon Shlens Michael C. Mozer Becca Roelofs UQCV 95 91 0 30 Jul 2021
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm Lorena Qendro Alexander Campbell Pietro Lio Cecilia Mascolo 123 6 0 21 Jul 2021
Federated Mixture of Experts M. Reisser Christos Louizos E. Gavves Max Welling FedML 71 26 0 14 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 95 61 0 01 Jul 2021
Dangers of Bayesian Model Averaging under Covariate Shift Pavel Izmailov Patrick K. Nicholson Sanae Lotfi A. Wilson OOD UQCV BDL 151 46 0 22 Jun 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 125 101 0 22 Jun 2021
On Stein Variational Neural Network Ensembles Francesco DÁngelo Vincent Fortuin F. Wenzel UQCV BDL 90 27 0 20 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 91 16 0 18 Jun 2021
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data Beau Coker Weiwei Pan Finale Doshi-Velez BDL 60 9 0 13 Jun 2021
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning Zachary Nado Neil Band Mark Collier Josip Djolonga Michael W. Dusenberry ... D. Sculley Balaji Lakshminarayanan Jasper Snoek Y. Gal Dustin Tran UQCV ELM 130 96 0 07 Jun 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights H. Ritter Martin Kukla Chen Zhang Yingzhen Li UQCV BDL 90 17 0 30 May 2021
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness Namuk Park S. Kim UQCV AAML 93 21 0 26 May 2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4TS 92 71 0 25 May 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 236 54 0 19 May 2021
BNNpriors: A library for Bayesian neural network inference with different prior distributions Vincent Fortuin Adrià Garriga-Alonso Mark van der Wilk Laurence Aitchison BDL UQCV 85 25 0 14 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 133 0 14 May 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 70 17 0 10 May 2021
Efficient Weight factorization for Multilingual Speech Recognition Ngoc-Quan Pham Tuan-Nam Nguyen S. Stueker A. Waibel 92 20 0 07 May 2021
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 81 389 0 29 Apr 2021
Uncertainty Surrogates for Deep Learning R. Achanta Natasa Tagasovska OOD UQCV 53 0 0 16 Apr 2021
From partners to populations: A hierarchical Bayesian account of coordination and convention Robert D. Hawkins Michael Franke Michael C. Frank Adele E. Goldberg Kenny Smith Thomas Griffiths Noah D. Goodman 69 56 0 12 Apr 2021
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise Jannik Schmitt Stefan Roth UQCV 49 6 0 15 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks Alexandre Ramé Rémy Sun Matthieu Cord UQCV 108 60 0 10 Mar 2021
The Promises and Pitfalls of Deep Kernel Learning Sebastian W. Ober C. Rasmussen Mark van der Wilk UQCV BDL 82 109 0 24 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 126 156 0 23 Feb 2021
Improving Uncertainty Calibration via Prior Augmented Data Jeffrey Willette Juho Lee Sung Ju Hwang UQCV 36 0 0 22 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 314 94 0 16 Feb 2021
Structured Dropout Variational Inference for Bayesian Neural Networks S. Nguyen Duong Nguyen Khai Nguyen Khoat Than Hung Bui Nhat Ho BDL DRL 56 8 0 16 Feb 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification Yu Bai Song Mei Haiquan Wang Caiming Xiong 83 42 0 15 Feb 2021
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu FedML 75 27 0 12 Feb 2021
Bayesian Neural Network Priors Revisited Vincent Fortuin Adrià Garriga-Alonso Sebastian W. Ober F. Wenzel Gunnar Rätsch Richard Turner Mark van der Wilk Laurence Aitchison BDL UQCV 133 141 0 12 Feb 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li David Duvenaud BDL UQCV 92 49 0 12 Feb 2021
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 94 27 0 04 Dec 2020
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions Hao Chen Chunhua Shen Zhi Tian ISeg 40 3 0 19 Nov 2020