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How stable are Transferability Metrics evaluations?
v1v2v3 (latest)

How stable are Transferability Metrics evaluations?

European Conference on Computer Vision (ECCV), 2022
4 April 2022
A. Agostinelli
Michal Pándy
J. Uijlings
Thomas Mensink
V. Ferrari
ArXiv (abs)PDFHTML

Papers citing "How stable are Transferability Metrics evaluations?"

24 / 24 papers shown
Title
Implicit Modeling for Transferability Estimation of Vision Foundation Models
Implicit Modeling for Transferability Estimation of Vision Foundation Models
Yaoyan Zheng
Huiqun Wang
Nan Zhou
Di Huang
121
0
0
27 Oct 2025
PEARL: Performance-Enhanced Aggregated Representation Learning
PEARL: Performance-Enhanced Aggregated Representation Learning
Wenhui Li
Shijin Gong
Xinyu Zhang
76
0
0
29 Sep 2025
k-NN as a Simple and Effective Estimator of Transferability
k-NN as a Simple and Effective Estimator of Transferability
Moein Sorkhei
Christos Matsoukas
Johan Fredin Haslum
Emir Konuk
Kevin Smith
261
0
0
24 Mar 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
213
0
0
10 Feb 2025
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective
How to Select Pre-Trained Code Models for Reuse? A Learning PerspectiveIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2025
Zhangqian Bi
Yao Wan
Zhaoyang Chu
Yufei Hu
Junyi Zhang
Hongyu Zhang
Guandong Xu
Hai Jin
164
0
0
08 Jan 2025
Enhancing pretraining efficiency for medical image segmentation via transferability metrics
Enhancing pretraining efficiency for medical image segmentation via transferability metrics
Gábor Hidy
Bence Bakos
András Lukács
263
1
0
24 Oct 2024
Leveraging Estimated Transferability Over Human Intuition for Model
  Selection in Text Ranking
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text RankingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Jun Bai
Zhuofan Chen
Zhenzi Li
Hanhua Hong
Jianfei Zhang
Chen Li
Chenghua Lin
Wenge Rong
173
2
0
24 Sep 2024
Towards Fundamentally Scalable Model Selection: Asymptotically Fast
  Update and Selection
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection
Wenxiao Wang
Weiming Zhuang
Lingjuan Lyu
199
0
0
11 Jun 2024
Back to the Basics on Predicting Transfer Performance
Back to the Basics on Predicting Transfer Performance
Levy G. Chaves
Eduardo Valle
Alceu Bissoto
Sandra Avila
MedIm
166
0
0
30 May 2024
Efficient Transferability Assessment for Selection of Pre-trained
  Detectors
Efficient Transferability Assessment for Selection of Pre-trained DetectorsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Zhao Wang
Aoxue Li
Zhenguo Li
Qi Dou
130
0
0
14 Mar 2024
Which Model to Transfer? A Survey on Transferability Estimation
Which Model to Transfer? A Survey on Transferability Estimation
Yuhe Ding
Bo Jiang
Aijing Yu
Aihua Zheng
Jian Liang
240
14
0
23 Feb 2024
How to Determine the Most Powerful Pre-trained Language Model without
  Brute Force Fine-tuning? An Empirical Survey
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical SurveyConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jun Bai
Xiaofeng Zhang
Chen Li
Hanhua Hong
Xi Xu
Chenghua Lin
Wenge Rong
161
12
0
08 Dec 2023
Better Practices for Domain Adaptation
Better Practices for Domain Adaptation
Linus Ericsson
Da Li
Timothy M. Hospedales
AI4CETTA
116
6
0
07 Sep 2023
Exploring Model Transferability through the Lens of Potential Energy
Exploring Model Transferability through the Lens of Potential EnergyIEEE International Conference on Computer Vision (ICCV), 2023
Xiaotong Li
Zixuan Hu
Yixiao Ge
Ying Shan
Ling-Yu Duan
167
12
0
29 Aug 2023
Sensitivity analysis of AI-based algorithms for autonomous driving on
  optical wavefront aberrations induced by the windshield
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield
D. Wolf
Markus Ulrich
Nikhil Kapoor
139
3
0
19 Aug 2023
The Performance of Transferability Metrics does not Translate to Medical
  Tasks
The Performance of Transferability Metrics does not Translate to Medical Tasks
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
209
7
0
14 Aug 2023
LOVM: Language-Only Vision Model Selection
LOVM: Language-Only Vision Model SelectionNeural Information Processing Systems (NeurIPS), 2023
O. Zohar
Shih-Cheng Huang
Kuan-Chieh Wang
Serena Yeung
MLLM
178
16
0
15 Jun 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Model Spider: Learning to Rank Pre-Trained Models EfficientlyNeural Information Processing Systems (NeurIPS), 2023
Yi-Kai Zhang
Ting Huang
Yao-Xiang Ding
De-Chuan Zhan
Han-Jia Ye
230
39
0
06 Jun 2023
How to Estimate Model Transferability of Pre-Trained Speech Models?
How to Estimate Model Transferability of Pre-Trained Speech Models?Interspeech (Interspeech), 2023
Zih-Ching Chen
Chao-Han Huck Yang
Yue Liu
Yu Zhang
Nanxin Chen
Shoufeng Chang
Rohit Prabhavalkar
Hung-yi Lee
Tara N. Sainath
388
11
0
01 Jun 2023
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?International Conference on Learning Representations (ICLR), 2023
Jianfei Yang
Hanjie Qian
Yuecong Xu
Kai Wang
Lihua Xie
212
14
0
30 May 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
A Bag-of-Prototypes Representation for Dataset-Level ApplicationsComputer Vision and Pattern Recognition (CVPR), 2023
Wei-Chih Tu
Weijian Deng
Tom Gedeon
Liang Zheng
185
13
0
23 Mar 2023
Towards Estimating Transferability using Hard Subsets
Towards Estimating Transferability using Hard Subsets
Tarun Ram Menta
Surgan Jandial
A. Patil
K.U. Vimal
Saketh Bachu
Balaji Krishnamurthy
V. Balasubramanian
Chirag Agarwal
Mausoom Sarkar
137
0
0
17 Jan 2023
Benchmarking Graph Neural Networks
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.2K
1,080
0
02 Mar 2020
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
2.5K
16,441
0
07 Oct 2016
1