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Scalable Diverse Model Selection for Accessible Transfer Learning

Neural Information Processing Systems (NeurIPS), 2021

12 November 2021

Papers citing "Scalable Diverse Model Selection for Accessible Transfer Learning"

32 / 32 papers shown

Title
Implicit Modeling for Transferability Estimation of Vision Foundation Models Yaoyan Zheng Huiqun Wang Nan Zhou Di Huang 77 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 36 1 0 20 Oct 2025
Match & Choose: Model Selection Framework for Fine-tuning Text-to-Image Diffusion Models Basile Lewandowski Robert Birke Lydia Y. Chen 65 0 0 14 Aug 2025
A Contrastive Diffusion-based Network (CDNet) for Time Series Classification Yaoyu Zhang Chi-Guhn Lee DiffM 68 0 0 28 Jul 2025
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 99 7 0 19 Jul 2025
Beyond the Horizon: Decoupling Multi-View UAV Action Recognition via Partial Order Transfer Wenxuan Liu Zhuo Zhou Zhuo Zhou Shangshang Yang Wenxin Huang Alex Chichung Kot Chia-Wen Lin 127 0 0 29 Apr 2025
k-NN as a Simple and Effective Estimator of Transferability Moein Sorkhei Christos Matsoukas Johan Fredin Haslum Emir Konuk Kevin Smith 202 0 0 24 Mar 2025
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 128 0 0 08 Jan 2025
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection Wenxiao Wang Weiming Zhuang Lingjuan Lyu 171 0 0 11 Jun 2024
Labeled Data Selection for Category DiscoveryEuropean Conference on Computer Vision (ECCV), 2024 Bingchen Zhao Nico Lang Serge Belongie Oisin Mac Aodha 191 4 0 07 Jun 2024
Back to the Basics on Predicting Transfer Performance Levy G. Chaves Eduardo Valle Alceu Bissoto Sandra Avila MedIm 142 0 0 30 May 2024
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 170 0 0 01 May 2024
Flatness Improves Backbone Generalisation in Few-shot ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Rui Li Martin Trapp Talal Alrawajfeh Arno Solin 203 1 0 11 Apr 2024
Model Selection with Model Zoo via Graph Learning Ziyu Li Hilco van der Wilk Danning Zhan Megha Khosla A. Bozzon Rihan Hai 162 5 0 05 Apr 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning Jiameng Bai Sai Wu Mingli Song Junbo Zhao Gang Chen 180 5 0 11 Mar 2024
Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo Jiangbo Pei Ruizhe Li Aidong Men Yang Liu Xiahai Zhuang Qingchao Chen 149 1 0 03 Mar 2024
Green Runner: A tool for efficient deep learning component selection Jai Kannan 148 2 0 29 Jan 2024
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 120 12 0 08 Dec 2023
Simple Transferability Estimation for Regression TasksConference on Uncertainty in Artificial Intelligence (UAI), 2023 Cuong N. Nguyen Phong Tran L. Ho Vu C. Dinh Anh Tran Tal Hassner Cuong V Nguyen 207 6 0 01 Dec 2023
Efficient Stitchable Task AdaptationComputer Vision and Pattern Recognition (CVPR), 2023 Haoyu He Zizheng Pan Jing Liu Jianfei Cai Bohan Zhuang 180 7 0 29 Nov 2023
Unleashing the power of Neural Collapse for Transferability Estimation Yuhe Ding Bo Jiang Lijun Sheng Aihua Zheng Jian Liang CVBM 128 1 0 09 Oct 2023
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 147 12 0 29 Aug 2023
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 192 38 0 06 Jun 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and HowInternational Conference on Learning Representations (ICLR), 2023 Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 233 25 0 06 Jun 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 299 28 0 08 May 2023
Distilling from Similar Tasks for Transfer Learning on a BudgetIEEE International Conference on Computer Vision (ICCV), 2023 Kenneth Borup Cheng Perng Phoo Bharath Hariharan 131 3 0 24 Apr 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 149 26 0 27 Feb 2023
Deep Model ReassemblyNeural Information Processing Systems (NeurIPS), 2022 Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 160 143 0 24 Oct 2022
Content-Based Search for Deep Generative ModelsACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2022 Daohan Lu Sheng-Yu Wang Nupur Kumari Rohan Agarwal Mia Tang David Bau Jun-Yan Zhu DiffM SyDa 217 7 0 06 Oct 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained ModelsNeural Information Processing Systems (NeurIPS), 2022 Yang Shu Zhangjie Cao Ziyang Zhang Jianmin Wang Mingsheng Long 153 5 0 08 Jun 2022
How stable are Transferability Metrics evaluations?European Conference on Computer Vision (ECCV), 2022 A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 249 29 0 04 Apr 2022
Transferability Metrics for Selecting Source Model Ensembles A. Agostinelli J. Uijlings Thomas Mensink V. Ferrari 173 29 0 25 Nov 2021