Title
Ranking pre-trained segmentation models for zero-shot transferability Joshua Talks Anna Kreshuk 125 0 0 01 Mar 2025
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach KB Vimal Saketh Bachu Tanmay Garg Niveditha Lakshmi Narasimhan Raghavan Konuru Vineeth N. Balasubramanian 36 2 0 05 Sep 2023
Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders Jongseong Jang Daeun Kyung Seunghyeon Kim Honglak Lee Kyunghoon Bae E. Choi LM&MA MedIm 30 10 0 14 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 32 0 30 Nov 2022
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings Daniel Kienzle Julian Lorenz Robin Schon K. Ludwig Rainer Lienhart 3DPC 22 14 0 30 Jun 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 22 0 04 Apr 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 27 85 0 02 Mar 2022
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning E. Panfilov S. Saarakkala M. Nieminen A. Tiulpin MedIm 22 9 0 26 Jan 2022
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 57 114 0 05 Oct 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 52 924 0 19 Aug 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 37 80 0 24 Mar 2021