LogME: Practical Assessment of Pre-trained Models for Transfer Learning

22 February 2021

Yong Liu

Papers citing "LogME: Practical Assessment of Pre-trained Models for Transfer Learning"

37 / 37 papers shown

Title
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection Xinyue Zeng Haohui Wang Junhong Lin Jun Wu Tyler Cody Dawei Zhou 100 0 0 01 May 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 49 0 0 09 Apr 2025
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing Yi-Kai Zhang De-Chuan Zhan Han-Jia Ye ALM ELM LRM 38 1 0 24 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
Vision-Language Model Selection and Reuse for Downstream Adaptation Hao-Zhe Tan Zhi-Hua Zhou Lan-Zhe Guo Yu-Feng Li VLM 91 0 0 30 Jan 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 64 0 0 19 Jan 2025
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 45 0 0 01 May 2024
Model Selection with Model Zoo via Graph Learning Ziyu Li Hilco van der Wilk Danning Zhan Megha Khosla A. Bozzon Rihan Hai 46 1 0 05 Apr 2024
Efficient Stitchable Task Adaptation Haoyu He Zizheng Pan Jing Liu Jianfei Cai Bohan Zhuang 26 3 0 29 Nov 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 29 22 0 14 Sep 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 39 2 0 05 Sep 2023
The Performance of Transferability Metrics does not Translate to Medical Tasks Levy G. Chaves Alceu Bissoto Eduardo Valle Sandra Avila 31 4 0 14 Aug 2023
ETran: Energy-Based Transferability Estimation Mohsen Gholami Mohammad Akbari Xinglu Wang Behnam Kamranian Yong Zhang 25 9 0 03 Aug 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization Chuyan Zhang Yuncheng Yang Hao Zheng Yun Gu 26 0 0 28 Jul 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 29 15 0 06 Jun 2023
To transfer or not transfer: Unified transferability metric and analysis Qianshan Zhan Xiaohui Zeng 23 2 0 12 May 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 46 20 0 27 Feb 2023
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy Cuong N.Nguyen L. Ho Vu C. Dinh Tal Hassner Cuong V.Nguyen 17 4 0 13 Sep 2022
Sort by Structure: Language Model Ranking as Dependency Probing Max Müller-Eberstein Rob van der Goot Barbara Plank 35 3 0 10 Jun 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models Yang Shu Zhangjie Cao Ziyang Zhang Jianmin Wang Mingsheng Long 17 4 0 08 Jun 2022
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting IV WilliamH.Clark Alan J. Michaels 10 2 0 07 May 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 22 0 04 Apr 2022
Probing for Labeled Dependency Trees Max Müller-Eberstein Rob van der Goot Barbara Plank 13 7 0 24 Mar 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks Nan Ding Xi Chen Tomer Levinboim Soravit Changpinyo Radu Soricut 22 26 0 10 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective Quan Cui Bingchen Zhao Zhao-Min Chen Borui Zhao Renjie Song Jiajun Liang Boyan Zhou Osamu Yoshie 24 18 0 08 Mar 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 16 57 0 24 Nov 2021
Test-time Batch Statistics Calibration for Covariate Shift Fuming You Jingjing Li Zhou Zhao OOD 20 54 0 06 Oct 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu Zhi Kou Zhangjie Cao Jianmin Wang Mingsheng Long 23 44 0 29 Jun 2021
Frustratingly Easy Transferability Estimation Long-Kai Huang Ying Wei Yu Rong Qiang Yang Junzhou Huang 27 57 0 17 Jun 2021
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale Yuanming Li Huaizheng Zhang Shanshan Jiang Fan Yang Yonggang Wen Yong Luo 21 2 0 18 May 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018