To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in
Transfer Learning

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning

6 March 2023

Ildus Sadrtdinov

Dmitrii Pozdeev

Dmitry Vetrov

Papers citing "To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning"

7 / 7 papers shown

Title
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems G. Nam Juho Lee 64 0 0 22 Nov 2024
Approaching Deep Learning through the Spectral Dynamics of Weights David Yunis Kumar Kshitij Patel Samuel Wheeler Pedro H. P. Savarese Gal Vardi Karen Livescu Michael Maire Matthew R. Walter 37 3 0 21 Aug 2024
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 313 0 11 Sep 2022
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 56 43 0 20 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 188 128 0 19 May 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014