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LEEP: A New Measure to Evaluate Transferability of Learned
  Representations
v1v2 (latest)

LEEP: A New Measure to Evaluate Transferability of Learned Representations

International Conference on Machine Learning (ICML), 2020
27 February 2020
Cuong V Nguyen
Tal Hassner
Matthias Seeger
Cédric Archambeau
ArXiv (abs)PDFHTML

Papers citing "LEEP: A New Measure to Evaluate Transferability of Learned Representations"

50 / 145 papers shown
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
Yuhang Liu
Wenjie Zhao
Yunhui Guo
160
0
0
26 Nov 2025
SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
Tengxue Zhang
Biao Ouyang
Yang Shu
Xinyang Chen
Chenjuan Guo
B. Yang
AI4TS
259
2
0
27 Oct 2025
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
196
1
0
27 Oct 2025
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
203
2
0
20 Oct 2025
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim
Ilmun Kim
Seyoung Park
234
0
0
17 Oct 2025
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
Prabhant Singh
Sibylle Hess
Joaquin Vanschoren
141
0
0
07 Oct 2025
PEARL: Performance-Enhanced Aggregated Representation Learning
PEARL: Performance-Enhanced Aggregated Representation Learning
Wenhui Li
Shijin Gong
Xinyu Zhang
158
0
0
29 Sep 2025
ML-Asset Management: Curation, Discovery, and Utilization
ML-Asset Management: Curation, Discovery, and UtilizationProceedings of the VLDB Endowment (PVLDB), 2025
Mengying Wang
Moming Duan
Yicong Huang
Chen Li
Bingsheng He
Yinghui Wu
196
4
0
28 Sep 2025
Estimating Time Series Foundation Model Transferability via In-Context Learning
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
Distribution-Aligned Decoding for Efficient LLM Task Adaptation
Distribution-Aligned Decoding for Efficient LLM Task Adaptation
Senkang Hu
Xudong Han
Jinqi Jiang
Yihang Tao
Zihan Fang
Yong Dai
Sam Kwong
Yuguang Fang
316
5
0
19 Sep 2025
One-Embedding-Fits-All: Efficient Zero-Shot Time Series Forecasting by a Model Zoo
One-Embedding-Fits-All: Efficient Zero-Shot Time Series Forecasting by a Model Zoo
Hao-Nan Shi
Ting Huang
Lu Han
De-Chuan Zhan
Han-Jia Ye
AI4TS
253
0
0
04 Sep 2025
Analysis of Transferability Estimation Metrics for Surgical Phase Recognition
Analysis of Transferability Estimation Metrics for Surgical Phase Recognition
Prabhant Singh
Yiping Li
Yasmina al Khalil
131
1
0
22 Aug 2025
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
Sijia Wang
Ricardo Henao
226
0
0
04 Aug 2025
LEAD: Exploring Logit Space Evolution for Model Selection
LEAD: Exploring Logit Space Evolution for Model SelectionComputer Vision and Pattern Recognition (CVPR), 2024
Zixuan Hu
Xiaotong Li
Shixiang Tang
Jun Liu
Yichun Hu
Ling-yu Duan
247
8
0
19 Jul 2025
Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Alireza Kazemi
Helia Rezvani
Mahsa Baktashmotlagh
412
2
0
28 Apr 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang
Liwen Cao
Yanru Wu
Zijie Zhao
Guan Wang
556
0
0
09 Apr 2025
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
Senkang Hu
Yanan Ma
Yihang Tao
Zhengru Fang
Zihan Fang
Yiqin Deng
Sam Kwong
Yuguang Fang
370
2
0
29 Mar 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
401
0
0
24 Mar 2025
Unsupervised Source-Free Ranking of Biomedical Segmentation Models Under Distribution Shift
Unsupervised Source-Free Ranking of Biomedical Segmentation Models Under Distribution Shift
Joshua Talks
Kevin Marchesini
Luca Lumetti
Federico Bolelli
Anna Kreshuk
OOD
941
0
0
01 Mar 2025
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
Capability Instruction Tuning: A New Paradigm for Dynamic LLM RoutingAAAI Conference on Artificial Intelligence (AAAI), 2025
Yi-Kai Zhang
De-Chuan Zhan
Han-Jia Ye
ALMELMLRM
541
22
0
24 Feb 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
Feature Space Perturbation: A Panacea to Enhanced Transferability EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Prafful Kumar Khoba
Zijian Wang
Chetan Arora
Mahsa Baktashmotlagh
AAML
457
4
0
23 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning
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
302
3
0
10 Feb 2025
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical SegmentationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Shutong Duan
Jingyun Yang
Yang Tan
Guoqing Zhang
Yang Li
Xiao-Ping Zhang
MedIm
182
1
0
04 Feb 2025
Vision-Language Model Selection and Reuse for Downstream Adaptation
Vision-Language Model Selection and Reuse for Downstream Adaptation
Hao-Zhe Tan
Zhi Zhou
Lan-Zhe Guo
Yu-Feng Li
VLM
415
0
0
30 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Yaoyao Liu
Zongwei Zhou
MedIm
389
21
0
20 Jan 2025
BeST -- A Novel Source Selection Metric for Transfer Learning
BeST -- A Novel Source Selection Metric for Transfer Learning
Ashutosh Soni
Peizhong Ju
A. Eryilmaz
Ness B. Shroff
453
1
0
19 Jan 2025
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series
  Analysis with Temporal Attention Mechanism and Counterfactual Explanations
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual ExplanationsBigData Congress [Services Society] (BSS), 2024
Pegah Ahadian
Wei Xu
Sherry Wang
Qiang Guan
AI4TS
211
0
0
25 Dec 2024
Bayesian-guided Label Mapping for Visual Reprogramming
Bayesian-guided Label Mapping for Visual ReprogrammingNeural Information Processing Systems (NeurIPS), 2024
C. Cai
Zesheng Ye
Bingquan Shen
Jianzhong Qi
Feng Liu
484
10
0
31 Oct 2024
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
398
1
0
24 Oct 2024
BenTo: Benchmark Task Reduction with In-Context Transferability
BenTo: Benchmark Task Reduction with In-Context Transferability
Hongyu Zhao
Ming Li
Lichao Sun
Tianyi Zhou
348
3
0
17 Oct 2024
Selecting the Best Sequential Transfer Path for Medical Image
  Segmentation with Limited Labeled Data
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled DataInternational Conference on Neural Information Processing (ICONIP), 2024
Jingyun Yang
Jun Wang
Guoqing Zhang
Yang Li
266
1
0
09 Oct 2024
Model Selection with a Shapelet-based Distance Measure for Multi-source
  Transfer Learning in Time Series Classification
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series ClassificationInternational Conference on Pattern Recognition (ICPR), 2024
Jiseok Lee
Brian Kenji Iwana
AI4TS
262
0
0
30 Sep 2024
When Does Visual Prompting Outperform Linear Probing for Vision-Language
  Models? A Likelihood Perspective
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood PerspectiveIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Tsung-Yi Ho
VPVLMLRMVLM
428
1
0
03 Sep 2024
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning
Jia Zhang
Zhi Zhou
Lan-Zhe Guo
Yu-Feng Li
VLM
476
0
0
21 Aug 2024
The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models
The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models
Laura Niss
Kevin Vogt-Lowell
Theodoros Tsiligkaridis
VLM
353
1
0
22 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
483
6
0
09 Jul 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights
Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta
Jonathan Lorraine
Steve Masson
Ramanathan Arunachalam
Zaid Pervaiz Bhat
James Lucas
Arun George Zachariah
307
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0
26 Jun 2024
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems
Md. Ibrahim Ibne Alam
Parikshit Ram
Soham Dan
Horst Samulowitz
Koushik Kar
272
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0
19 Jun 2024
Towards Fundamentally Scalable Model Selection: Asymptotically Fast
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Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection
Wenxiao Wang
Weiming Zhuang
Lingjuan Lyu
418
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0
11 Jun 2024
Labeled Data Selection for Category Discovery
Labeled Data Selection for Category DiscoveryEuropean Conference on Computer Vision (ECCV), 2024
Bingchen Zhao
Nico Lang
Serge Belongie
Oisin Mac Aodha
399
5
0
07 Jun 2024
Wings: Learning Multimodal LLMs without Text-only Forgetting
Wings: Learning Multimodal LLMs without Text-only Forgetting
Yi-Kai Zhang
Shiyin Lu
Yang Li
Yanqing Ma
Qing-Guo Chen
Zhao Xu
Weihua Luo
Kaifu Zhang
De-Chuan Zhan
Han-Jia Ye
VLM
366
21
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05 Jun 2024
"Forgetting" in Machine Learning and Beyond: A Survey
"Forgetting" in Machine Learning and Beyond: A Survey
Alyssa Shuang Sha
Bernardo Pereira Nunes
Armin Haller
MUKELM
345
6
0
31 May 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
271
0
0
30 May 2024
Distributed Continual Learning
Distributed Continual Learning
Long Le
Marcel Hussing
Eric Eaton
CLLFedML
318
2
0
23 May 2024
Test-time Assessment of a Model's Performance on Unseen Domains via
  Optimal Transport
Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport
Akshay Mehra
Yunbei Zhang
Jihun Hamm
OOD
200
1
0
02 May 2024
KITE: A Kernel-based Improved Transferability Estimation Method
KITE: A Kernel-based Improved Transferability Estimation Method
Yunhui Guo
431
2
0
01 May 2024
Model Selection with Model Zoo via Graph Learning
Model Selection with Model Zoo via Graph Learning
Ziyu Li
Hilco van der Wilk
Danning Zhan
Megha Khosla
A. Bozzon
Rihan Hai
265
8
0
05 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into
  Data Generation, Volume, and Utilization
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
Yuhang Li
Xin Dong
Chen Chen
Jingtao Li
Yuxin Wen
Michael Spranger
Lingjuan Lyu
DiffM
340
7
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A Two-Phase Recall-and-Select Framework for Fast Model Selection
A Two-Phase Recall-and-Select Framework for Fast Model Selection
Jianwei Cui
Wenhang Shi
Honglin Tao
Wei Lu
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308
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Efficient Transferability Assessment for Selection of Pre-trained
  Detectors
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Aoxue Li
Zhenguo Li
Qi Dou
235
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123
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