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The Deep Weight Prior

16 October 2018

Dmitry Vetrov

Papers citing "The Deep Weight Prior"

24 / 24 papers shown

Title
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models Christian Harder Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay 72 0 0 25 Oct 2023
Incorporating Unlabelled Data into Bayesian Neural Networks Mrinank Sharma Tom Rainforth Yee Whye Teh Vincent Fortuin SSL UQCV BDL 98 10 0 04 Apr 2023
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 71 1 0 17 Jul 2022
Disentangling Style and Speaker Attributes for TTS Style Transfer Xiaochun An Frank Soong Lei Xie 155 18 0 24 Jan 2022
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 41 0 0 24 Jun 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect Lorenzo Noci Kevin Roth Gregor Bachmann Sebastian Nowozin Thomas Hofmann CML 84 26 0 11 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
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 134 0 14 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 45 40 0 09 May 2021
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling R. Kopparti Tillman Weyde 53 0 0 10 Mar 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
Mathematical Models of Overparameterized Neural Networks Cong Fang Hanze Dong Tong Zhang 181 23 0 27 Dec 2020
All You Need is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran Simone Rossi Dimitrios Milios Maurizio Filippone OOD BDL 75 61 0 25 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 369 1,947 0 12 Nov 2020
Multi-Task Variational Information Bottleneck Weizhu Qian Bowei Chen Yichao Zhang Guanghui Wen Franck Gechter 68 11 0 01 Jul 2020
Predictive Complexity Priors Eric T. Nalisnick Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV 106 19 0 18 Jun 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis Xiaozhen Xie J. Niu Xuefeng Liu Zhengsu Chen Shaojie Tang Shui Yu 84 15 0 25 Apr 2020
Gabor Layers Enhance Network Robustness Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Adel Bibi Ali K. Thabet Guohao Li Pablo Arbelaez AAML 55 18 0 11 Dec 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Anna Kuzina Evgenii Egorov Evgeny Burnaev MedIm 124 19 0 15 Aug 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 82 77 0 19 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes R. Krishnan Mahesh Subedar Omesh Tickoo BDL 71 47 0 12 Jun 2019
Importance Weighted Hierarchical Variational Inference Artem Sobolev Dmitry Vetrov BDL 74 29 0 08 May 2019
Learning a smooth kernel regularizer for convolutional neural networks Reuben Feinman Brenden M. Lake BDL SSL 39 7 0 05 Mar 2019
Doubly Semi-Implicit Variational Inference Dmitry Molchanov V. Kharitonov Artem Sobolev Dmitry Vetrov BDL 92 40 0 05 Oct 2018