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Ranking Neural Checkpoints
Computer Vision and Pattern Recognition (CVPR), 2020
23 November 2020
Yandong Li
Xuhui Jia
Ruoxin Sang
Yukun Zhu
Bradley Green
Liqiang Wang
Boqing Gong
FedML
ELM
UQCV
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Papers citing
"Ranking Neural Checkpoints"
41 / 41 papers shown
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
Yuhang Liu
Wenjie Zhao
Yunhui Guo
160
0
0
26 Nov 2025
Implicit Modeling for Transferability Estimation of Vision Foundation Models
Yaoyan Zheng
Huiqun Wang
Nan Zhou
Di Huang
195
0
0
27 Oct 2025
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
202
2
0
20 Oct 2025
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
Prabhant Singh
Sibylle Hess
Joaquin Vanschoren
140
0
0
07 Oct 2025
Estimating Time Series Foundation Model Transferability via In-Context Learning
Qingren Yao
Ming Jin
Chengqi Zhang
Chao-Han Huck Yang
Jun Qi
Shirui Pan
AI4TS
171
0
0
28 Sep 2025
Analysis of Transferability Estimation Metrics for Surgical Phase Recognition
Prabhant Singh
Yiping Li
Yasmina al Khalil
120
1
0
22 Aug 2025
LEAD: Exploring Logit Space Evolution for Model Selection
Computer Vision and Pattern Recognition (CVPR), 2024
Zixuan Hu
Xiaotong Li
Shixiang Tang
Jun Liu
Yichun Hu
Ling-yu Duan
246
7
0
19 Jul 2025
Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Alireza Kazemi
Helia Rezvani
Mahsa Baktashmotlagh
410
1
0
28 Apr 2025
k-NN as a Simple and Effective Estimator of Transferability
Moein Sorkhei
Christos Matsoukas
Johan Fredin Haslum
Emir Konuk
Kevin Smith
400
0
0
24 Mar 2025
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
AAAI Conference on Artificial Intelligence (AAAI), 2025
Yi-Kai Zhang
De-Chuan Zhan
Han-Jia Ye
ALM
ELM
LRM
539
21
0
24 Feb 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Prafful Kumar Khoba
Zijian Wang
Chetan Arora
Mahsa Baktashmotlagh
AAML
456
3
0
23 Feb 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
301
3
0
10 Feb 2025
Enhancing pretraining efficiency for medical image segmentation via transferability metrics
Gábor Hidy
Bence Bakos
András Lukács
398
1
0
24 Oct 2024
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
Conference 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
251
2
0
24 Sep 2024
Back to the Basics on Predicting Transfer Performance
Levy G. Chaves
Eduardo Valle
Alceu Bissoto
Sandra Avila
MedIm
270
0
0
30 May 2024
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
Yang Yang
Wenhai Wang
Zhe Chen
Jifeng Dai
Liang Zheng
211
6
0
20 Mar 2024
Efficient Transferability Assessment for Selection of Pre-trained Detectors
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Zhao Wang
Aoxue Li
Zhenguo Li
Qi Dou
234
0
0
14 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai
Sai Wu
Mingli Song
Junbo Zhao
Gang Chen
488
5
0
11 Mar 2024
Which Model to Transfer? A Survey on Transferability Estimation
Yuhe Ding
Bo Jiang
Aijing Yu
Aihua Zheng
Jian Liang
367
15
0
23 Feb 2024
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jun Bai
Xiaofeng Zhang
Chen Li
Hanhua Hong
Xi Xu
Chenghua Lin
Wenge Rong
320
12
0
08 Dec 2023
Simple Transferability Estimation for Regression Tasks
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Cuong N. Nguyen
Phong Tran
L. Ho
Vu C. Dinh
Anh Tran
Tal Hassner
Cuong V Nguyen
392
7
0
01 Dec 2023
On Characterizing the Evolution of Embedding Space of Neural Networks using Algebraic Topology
Suryaka Suresh
Bishshoy Das
V. Abrol
Sumantra Dutta Roy
307
8
0
08 Nov 2023
Unleashing the power of Neural Collapse for Transferability Estimation
Yuhe Ding
Bo Jiang
Lijun Sheng
Aihua Zheng
Jian Liang
CVBM
293
1
0
09 Oct 2023
Exploring Model Transferability through the Lens of Potential Energy
IEEE International Conference on Computer Vision (ICCV), 2023
Xiaotong Li
Zixuan Hu
Yixiao Ge
Ying Shan
Ling-Yu Duan
334
13
0
29 Aug 2023
The Performance of Transferability Metrics does not Translate to Medical Tasks
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
318
8
0
14 Aug 2023
Foundation Model is Efficient Multimodal Multitask Model Selector
Neural Information Processing Systems (NeurIPS), 2023
Fanqing Meng
Wenqi Shao
Zhanglin Peng
Chong Jiang
Kaipeng Zhang
Yu Qiao
Ping Luo
199
22
0
11 Aug 2023
ETran: Energy-Based Transferability Estimation
IEEE International Conference on Computer Vision (ICCV), 2023
Mohsen Gholami
Mohammad Akbari
Xinglu Wang
Behnam Kamranian
Yong Zhang
234
20
0
03 Aug 2023
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Yuncheng Yang
Meng Wei
Junjun He
J. Yang
Jin Ye
Yun Gu
228
10
0
22 Jul 2023
Transferability Metrics for Object Detection
Louis Fouquet
Simona Maggio
L. Dreyfus-Schmidt
176
2
0
27 Jun 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Neural Information Processing Systems (NeurIPS), 2023
Yi-Kai Zhang
Ting Huang
Yao-Xiang Ding
De-Chuan Zhan
Han-Jia Ye
395
46
0
06 Jun 2023
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
European Conference on Computer Vision (ECCV), 2022
Wenqi Shao
Xun Zhao
Yixiao Ge
Zhaoyang Zhang
Lei Yang
Xiaogang Wang
Ying Shan
Ping Luo
320
39
0
07 Jul 2022
Selective Cross-Task Distillation
Su Lu
Han-Jia Ye
De-Chuan Zhan
298
2
0
25 Apr 2022
How stable are Transferability Metrics evaluations?
European Conference on Computer Vision (ECCV), 2022
A. Agostinelli
Michal Pándy
J. Uijlings
Thomas Mensink
V. Ferrari
424
33
0
04 Apr 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
European Conference on Computer Vision (ECCV), 2022
Nan Ding
Xi Chen
Tomer Levinboim
Soravit Changpinyo
Radu Soricut
295
37
0
10 Mar 2022
Transferability Metrics for Selecting Source Model Ensembles
A. Agostinelli
J. Uijlings
Thomas Mensink
V. Ferrari
295
30
0
25 Nov 2021
Transferability Estimation using Bhattacharyya Class Separability
Michal Pándy
A. Agostinelli
J. Uijlings
V. Ferrari
Thomas Mensink
400
79
0
24 Nov 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang
Qiang Qiu
Kenneth Church
283
4
0
05 Nov 2021
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
Shibal Ibrahim
Natalia Ponomareva
Rahul Mazumder
AAML
430
21
0
13 Oct 2021
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
International Conference on Machine Learning (ICML), 2021
Yikang Zhang
Zhuo Chen
Zhaobai Zhong
MoE
265
11
0
08 Jul 2021
Frustratingly Easy Transferability Estimation
International Conference on Machine Learning (ICML), 2021
Long-Kai Huang
Ying Wei
Yu Rong
Qiang Yang
Junzhou Huang
597
70
0
17 Jun 2021
What to Pre-Train on? Efficient Intermediate Task Selection
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Clifton A. Poth
Jonas Pfeiffer
Andreas Rucklé
Iryna Gurevych
350
108
0
16 Apr 2021
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