Theoretical Guarantees of Transfer Learning

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Theoretical Guarantees of Transfer Learning

14 October 2018

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Papers citing "Theoretical Guarantees of Transfer Learning"

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Title
Unsupervised Domain Adaptation with Deep Neural-Network Artem Bituitskii OOD 80 0 0 10 Jul 2023
Unsupervised Non-transferable Text Classification Guangtao Zeng Wei Lu 84 6 0 23 Oct 2022
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions Gholamali Aminian Saeed Masiha Laura Toni M. Rodrigues 53 9 0 02 Oct 2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning Cédric Renggli Xiaozhe Yao Luka Kolar Luka Rimanic Ana Klimovic Ce Zhang OOD 88 5 0 04 Apr 2022
Extracting Global Dynamics of Loss Landscape in Deep Learning Models Mohammed Eslami Hamed Eramian Marcio Gameiro W. Kalies Konstantin Mischaikow 39 1 0 14 Jun 2021
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 88 28 0 13 Oct 2020
Scalable Transfer Learning with Expert Models J. Puigcerver C. Riquelme Basil Mustafa Cédric Renggli André Susano Pinto Sylvain Gelly Daniel Keysers N. Houlsby 138 65 0 28 Sep 2020