Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

14 July 2020

Laurent Valentin Jospin

Papers citing "Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users"

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Title
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis Samuel T. M. Ball UQCV BDL 68 0 0 17 May 2025
A Langevin sampling algorithm inspired by the Adam optimizer Benedict Leimkuhler René Lohmann Peter Whalley 95 0 0 26 Apr 2025
Decentralized Collective World Model for Emergent Communication and Coordination Kentaro Nomura Tatsuya Aoki Tadahiro Taniguchi Takato Horii 81 1 0 04 Apr 2025
Uncertainty-aware Bayesian machine learning modelling of land cover classification Samuel Bilson Anna Pustogvar UQCV 118 1 0 27 Mar 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 166 13 0 28 Jan 2025
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 81 1 0 30 Oct 2024
Generative Edge Detection with Stable Diffusion Caixia Zhou Yaping Huang Mochu Xiang Jiahui Ren Haibin Ling Jing Zhang 68 0 0 04 Oct 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 107 2 0 01 Jun 2024
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 70 1 0 27 May 2024
Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks Youngkyoung Bae Seungwoong Ha Hawoong Jeong 78 2 0 02 Feb 2024
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 52 382 0 29 Apr 2021
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching Scott Cheng-Hsin Yang Wai Keen Vong Ravi B. Sojitra Tomas Folke Patrick Shafto 49 43 0 07 Feb 2021
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex J. Chan Ahmed Alaa Zhaozhi Qian M. Schaar UQCV BDL OOD 39 38 0 26 Jun 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 42 201 0 22 Jun 2020
Why distillation helps: a statistical perspective A. Menon A. S. Rawat Sashank J. Reddi Seungyeon Kim Sanjiv Kumar FedML 30 22 0 21 May 2020
Prior choice affects ability of Bayesian neural networks to identify unknowns D. Silvestro Tobias Andermann UQCV BDL 32 23 0 11 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 241 1,950 0 11 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 309 1,471 0 18 Mar 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 59 285 0 24 Feb 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 31 649 0 20 Feb 2020
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation N. Brosse C. Riquelme Alice Martin Sylvain Gelly Eric Moulines BDL OOD UQCV 38 33 0 22 Jan 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 114 3,508 0 21 Jan 2020
On the Validity of Bayesian Neural Networks for Uncertainty Estimation John Mitros Brian Mac Namee UQCV BDL 55 29 0 03 Dec 2019
Towards calibrated and scalable uncertainty representations for neural networks Nabeel Seedat Christopher Kanan UQCV 44 19 0 28 Oct 2019
Input complexity and out-of-distribution detection with likelihood-based generative models Joan Serrà David Álvarez Vicencc Gómez Olga Slizovskaia José F. Núñez Jordi Luque OODD 55 276 0 25 Sep 2019
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era Xian-Feng Han Hamid Laga Bennamoun 3DV 39 350 0 15 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 47 2,322 0 06 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 110 1,677 0 06 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 68 243 0 06 Jun 2019
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval Adam D. Cobb Michael D. Himes Frank Soboczenski Simone Zorzan Molly D. O'Beirne A. G. Baydin Y. Gal S. Domagal‐Goldman Giada N. Arney Daniel Angerhausen 13 57 0 25 May 2019
S4L: Self-Supervised Semi-Supervised Learning Xiaohua Zhai Avital Oliver Alexander Kolesnikov Lucas Beyer SSL VLM 62 790 0 09 May 2019
Bayesian Generative Active Deep Learning Toan M. Tran Thanh-Toan Do Ian Reid G. Carneiro 53 136 0 26 Apr 2019
Measuring Calibration in Deep Learning Jeremy Nixon Michael W. Dusenberry Ghassen Jerfel Timothy Nguyen Jeremiah Zhe Liu Linchuan Zhang Dustin Tran UQCV 47 484 0 02 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 16 242 0 27 Mar 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 79 1,692 0 16 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 58 801 0 07 Feb 2019
The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning Jiaming Zeng Adam Lesnikowski J. Álvarez OOD UQCV BDL 31 27 0 29 Nov 2018
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 39 753 0 22 Oct 2018
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 81 1,043 0 18 Oct 2018
Uncertainty in Neural Networks: Approximately Bayesian Ensembling Tim Pearce Felix Leibfried Alexandra Brintrup Mohamed H. Zaki A. Neely BDL UQCV 29 192 0 12 Oct 2018
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models Mohammad Emtiyaz Khan Didrik Nielsen BDL 61 62 0 12 Jul 2018
Variational Bayesian dropout: pitfalls and fixes Jiri Hron A. G. Matthews Zoubin Ghahramani BDL 58 67 0 05 Jul 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 78 626 0 01 Jul 2018
Adversarial Distillation of Bayesian Neural Network Posteriors Kuan-Chieh Wang Paul Vicol James Lucas Li Gu Roger C. Grosse R. Zemel UQCV GAN AAML BDL 31 56 0 27 Jun 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 82 269 0 13 Jun 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 61 329 0 20 May 2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches Yeming Wen Paul Vicol Jimmy Ba Dustin Tran Roger C. Grosse BDL 31 308 0 12 Mar 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 43 505 0 26 Jan 2018
Bayesian Inference over the Stiefel Manifold via the Givens Representation A. Pourzanjani Richard M. Jiang Brian Mitchell P. Atzberger Linda R. Petzold 20 6 0 25 Oct 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 128 5,774 0 14 Jun 2017