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Which Model to Transfer? Finding the Needle in the Growing Haystack

13 October 2020

Papers citing "Which Model to Transfer? Finding the Needle in the Growing Haystack"

21 / 21 papers shown

Title
Do Multiple Instance Learning Models Transfer? Daniel Shao Richard J. Chen Andrew H. Song Joel Runevic Ming Y. Lu Tong Ding Faisal Mahmood MedIm 186 6 0 10 Jun 2025
Unintended Bias in 2D+ Image Segmentation and Its Effect on Attention Asymmetry Zsófia Molnár Gergely Szabó András Horváth 168 0 0 20 May 2025
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
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
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning Jia Zhang Zhi Zhou Lan-Zhe Guo Yu-Feng Li VLM 322 0 0 21 Aug 2024
On Supernet Transfer Learning for Effective Task Adaptation Prabhant Singh Joaquin Vanschoren AAML OOD 347 0 0 26 Jul 2024
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning Pin-Jie Lin Miaoran Zhang Marius Mosbach Dietrich Klakow 165 0 0 23 Jul 2024
A Two-Phase Recall-and-Select Framework for Fast Model Selection Jianwei Cui Wenhang Shi Honglin Tao Wei Lu Xiaoyong Du 233 0 0 28 Mar 2024
Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data A. Abdelmoniem 111 1 0 19 Jun 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 230 39 0 06 Jun 2023
Green Runner: A tool for efficient model selection from model repositories Jai Kannan Scott Barnett Anj Simmons Taylan Selvi Luís Cruz 118 1 0 26 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent AgreementInternational Conference on Machine Learning (ICML), 2023 Ailin Deng Miao Xiong Bryan Hooi 312 9 0 02 May 2023
Transferability Estimation Based On Principal Gradient Expectation Huiyan Qi Lechao Cheng Yue Yu Yue Yu Haijun Shan Zunlei Feng Yueping Jiang 194 4 0 29 Nov 2022
Selective Cross-Task Distillation Su Lu Han-Jia Ye De-Chuan Zhan 216 1 0 25 Apr 2022
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts Jiayu Yao Qingyuan Wu Quan Feng Songcan Chen SSL 134 1 0 11 Apr 2022
SHiFT: An Efficient, Flexible Search Engine for Transfer LearningProceedings of the VLDB Endowment (PVLDB), 2022 Cédric Renggli Xiaozhe Yao Luka Kolar Luka Rimanic Ana Klimovic Ce Zhang OOD 244 7 0 04 Apr 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting DefensesProceedings on Privacy Enhancing Technologies (PoPETs), 2022 Alexander Veicht Cédric Renggli Diogo Barradas AAML 177 8 0 08 Mar 2022
What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Clifton A. Poth Jonas Pfeiffer Andreas Rucklé Iryna Gurevych 226 102 0 16 Apr 2021
Self-Supervised Pretraining Improves Self-Supervised PretrainingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Colorado Reed Xiangyu Yue Aniruddha Nrusimha Sayna Ebrahimi Vivek Vijaykumar ... Shanghang Zhang Devin Guillory Sean L. Metzger Kurt Keutzer Trevor Darrell 264 121 0 23 Mar 2021
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label NoiseIEEE International Conference on Data Engineering (ICDE), 2020 Cédric Renggli Luka Rimanic Luka Kolar Wentao Wu Ce Zhang 262 4 0 16 Oct 2020
SelfAugment: Automatic Augmentation Policies for Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2020 Colorado Reed Sean L. Metzger A. Srinivas Trevor Darrell Kurt Keutzer SSL 209 52 0 16 Sep 2020