Transferability Estimation using Bhattacharyya Class Separability

24 November 2021

Papers citing "Transferability Estimation using Bhattacharyya Class Separability"

42 / 42 papers shown

Title
k-NN as a Simple and Effective Estimator of Transferability Moein Sorkhei Christos Matsoukas Johan Fredin Haslum Kevin Smith 57 0 0 24 Mar 2025
Ranking pre-trained segmentation models for zero-shot transferability Joshua Talks Anna Kreshuk 130 0 0 01 Mar 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation Prafful Kumar Khoba Zijian Wang Chetan Arora Mahsa Baktashmotlagh AAML 40 0 0 23 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang-Cuong Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 80 0 0 10 Feb 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan L. Yuille Zongwei Zhou MedIm 43 8 0 20 Jan 2025
BeST -- A Novel Source Selection Metric for Transfer Learning Ashutosh Soni Peizhong Ju A. Eryilmaz Ness B. Shroff 66 0 0 19 Jan 2025
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection Wenxiao Wang Weiming Zhuang Lingjuan Lyu 41 0 0 11 Jun 2024
Back to the Basics on Predicting Transfer Performance Levy G. Chaves Eduardo Valle Alceu Bissoto Sandra Avila MedIm 47 0 0 30 May 2024
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 45 0 0 01 May 2024
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning Ahmed Elhussein Gamze Gursoy FedML OOD 36 2 0 29 Apr 2024
Efficient Transferability Assessment for Selection of Pre-trained Detectors Zhao Wang Aoxue Li Zhenguo Li Qi Dou 32 0 0 14 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning Jiameng Bai Sai Wu Jie Song Junbo Zhao Gang Chen 42 0 0 11 Mar 2024
Which Model to Transfer? A Survey on Transferability Estimation Yuhe Ding Bo Jiang Aijing Yu Aihua Zheng Jian Liang 45 4 0 23 Feb 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law Haowei Lin Baizhou Huang Haotian Ye Qinyu Chen Zihao Wang Sujian Li Jianzhu Ma Xiaojun Wan James Zou Yitao Liang 87 20 0 04 Feb 2024
Green Runner: A tool for efficient deep learning component selection Jai Kannan 24 2 0 29 Jan 2024
Unleashing the power of Neural Collapse for Transferability Estimation Yuhe Ding Bo Jiang Lijun Sheng Aihua Zheng Jian Liang CVBM 35 1 0 09 Oct 2023
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 42 2 0 05 Sep 2023
Exploring Model Transferability through the Lens of Potential Energy Xiaotong Li Zixuan Hu Yixiao Ge Ying Shan Ling-Yu Duan 27 7 0 29 Aug 2023
The Performance of Transferability Metrics does not Translate to Medical Tasks Levy G. Chaves Alceu Bissoto Eduardo Valle Sandra Avila 34 4 0 14 Aug 2023
Foundation Model is Efficient Multimodal Multitask Model Selector Fanqing Meng Wenqi Shao Zhanglin Peng Chong Jiang Kaipeng Zhang Yu Qiao Ping Luo 30 13 0 11 Aug 2023
ETran: Energy-Based Transferability Estimation Mohsen Gholami Mohammad Akbari Xinglu Wang Behnam Kamranian Yong Zhang 28 9 0 03 Aug 2023
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation Yuncheng Yang Meng Wei Junjun He J. Yang Jin Ye Yun Gu 35 6 0 22 Jul 2023
End-to-End Supervised Multilabel Contrastive Learning A. Sajedi Samir Khaki Konstantinos N. Plataniotis Mahdi S. Hosseini SSL 29 8 0 08 Jul 2023
LOVM: Language-Only Vision Model Selection O. Zohar Shih-Cheng Huang Kuan-Chieh Jackson Wang Serena Yeung MLLM 42 13 0 15 Jun 2023
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction A. Sajedi Y. Lawryshyn Konstantinos N. Plataniotis 11 3 0 12 Jun 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently Yi-Kai Zhang Ting Huang Yao-Xiang Ding De-Chuan Zhan Han-Jia Ye 28 23 0 06 Jun 2023
Feasibility of Transfer Learning: A Mathematical Framework Haoyang Cao Haotian Gu Xin Guo 26 4 0 22 May 2023
To transfer or not transfer: Unified transferability metric and analysis Qianshan Zhan Fangyin Wei 23 2 0 12 May 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 38 9 0 23 Mar 2023
Your representations are in the network: composable and parallel adaptation for large scale models Yonatan Dukler Alessandro Achille Hao Yang Varsha Vivek L. Zancato Benjamin Bowman Avinash Ravichandran Charless C. Fowlkes A. Swaminathan Stefano Soatto 28 3 0 07 Mar 2023
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 20 0 0 17 Jan 2023
Transferability Estimation Based On Principal Gradient Expectation Huiyan Qi Lechao Cheng Jingjing Chen Yue Yu Xue Song Zunlei Feng Yueping Jiang 24 2 0 29 Nov 2022
Evidence > Intuition: Transferability Estimation for Encoder Selection Elisa Bassignana Max Müller-Eberstein Mike Zhang Barbara Plank 32 8 0 20 Oct 2022
No Reason for No Supervision: Improved Generalization in Supervised Models Mert Bulent Sariyildiz Yannis Kalantidis Alahari Karteek Diane Larlus SSL OOD LRM 24 28 0 30 Jun 2022
Selective Cross-Task Distillation Su Lu Han-Jia Ye De-Chuan Zhan 28 0 0 25 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 22 0 04 Apr 2022
On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation Martin Van Waerebeke Gregory A. Lodygensky Jose Dolz UQCV 12 2 0 07 Mar 2022
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 72 194 0 07 Feb 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 80 764 0 13 Nov 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009