Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective

28 January 2025

Papers citing "Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective"

18 / 18 papers shown

Title
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported Ethan Harvey Mikhail Petrov Michael C. Hughes BDL 21 2 0 24 May 2024
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 88 43 0 20 May 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor Wesley J. Maddox Pavel Izmailov A. Wilson BDL UD 49 50 0 30 Mar 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 94 58 0 23 Feb 2022
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 300 18,686 0 13 Feb 2020
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 67 408 0 25 Jun 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 82 806 0 07 Feb 2019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 105 780 0 13 Nov 2018
Consistency of ELBO maximization for model selection Badr-Eddine Chérief-Abdellatif 63 19 0 28 Oct 2018
Variance reduction properties of the reparameterization trick Ming Xu M. Quiroz Robert Kohn Scott A. Sisson AAML 62 67 0 27 Sep 2018
Optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization D. Kobak Jonathan Lomond Benoit Sanchez 46 89 0 28 May 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 74 354 0 05 Feb 2018
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 272 8,082 0 13 Aug 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 215 4,775 0 04 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 193,390 0 10 Dec 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 156 1,886 0 20 May 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 73 266 0 11 Dec 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 147 4,938 0 23 Mar 2014