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Which Model to Transfer? Finding the Needle in the Growing Haystack

Which Model to Transfer? Finding the Needle in the Growing Haystack

13 October 2020
Cédric Renggli
André Susano Pinto
Luka Rimanic
J. Puigcerver
C. Riquelme
Ce Zhang
Mario Lucic
ArXivPDFHTML

Papers citing "Which Model to Transfer? Finding the Needle in the Growing Haystack"

6 / 6 papers shown
Title
Green Runner: A tool for efficient model selection from model
  repositories
Green Runner: A tool for efficient model selection from model repositories
Jai Kannan
Scott Barnett
Anj Simmons
Taylan Selvi
Luís Cruz
12
1
0
26 May 2023
DeepSE-WF: Unified Security Estimation for Website Fingerprinting
  Defenses
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses
Alexander Veicht
Cédric Renggli
Diogo Barradas
AAML
17
7
0
08 Mar 2022
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
23
104
0
23 Mar 2021
A linearized framework and a new benchmark for model selection for
  fine-tuning
A linearized framework and a new benchmark for model selection for fine-tuning
Aditya Deshpande
Alessandro Achille
Avinash Ravichandran
Hao Li
L. Zancato
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
Pietro Perona
ALM
105
37
0
29 Jan 2021
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
163
0
21 Aug 2019
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
68
232
0
28 Feb 2017
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