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Effect of Pre-Training Scale on Intra- and Inter-Domain Full and
  Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images
v1v2v3v4 (latest)

Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images

31 May 2021
Mehdi Cherti
J. Jitsev
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images"

9 / 9 papers shown
Title
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
F. Jonske
M. Kim
Enrico Nasca
J. Evers
Johannes Haubold
...
F. Nensa
Michael Kamp
C. Seibold
Jan Egger
Jens Kleesiek
190
1
0
17 Feb 2025
Less can be more for predicting properties with large language models
Less can be more for predicting properties with large language models
Nawaf Alampara
Santiago Miret
Kevin Maik Jablonka
94
10
0
25 Jun 2024
Exploring scalable medical image encoders beyond text supervision
Exploring scalable medical image encoders beyond text supervision
Fernando Pérez-García
Harshita Sharma
Sam Bond-Taylor
Kenza Bouzid
Valentina Salvatelli
...
Maria T. A. Wetscherek
Noel C. F. Codella
Stephanie L. Hyland
Javier Alvarez-Valle
Ozan Oktay
LM&MAMedIm
139
9
0
19 Jan 2024
Benchmark data to study the influence of pre-training on explanation
  performance in MR image classification
Benchmark data to study the influence of pre-training on explanation performance in MR image classification
Marta Oliveira
Rick Wilming
Benedict Clark
Céline Budding
Fabian Eitel
K. Ritter
Stefan Haufe
55
1
0
21 Jun 2023
The Role of Pre-training Data in Transfer Learning
The Role of Pre-training Data in Transfer Learning
R. Entezari
Mitchell Wortsman
O. Saukh
M. Shariatnia
Hanie Sedghi
Ludwig Schmidt
98
23
0
27 Feb 2023
Revisiting Hidden Representations in Transfer Learning for Medical
  Imaging
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Dovile Juodelyte
Amelia Jiménez-Sánchez
Veronika Cheplygina
OOD
61
1
0
16 Feb 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
  Generalization
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Ramé
Kartik Ahuja
Jianyu Zhang
Matthieu Cord
Léon Bottou
David Lopez-Paz
MoMeOODD
128
86
0
20 Dec 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OODVLMAI4TS
111
18
0
15 Nov 2022
XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For
  Convolutional Neural Networks
XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
Jian Sun
A. P. Fard
Mohammad H. Mahoor
3DPC
69
8
0
21 Nov 2021
1