LEEP: A New Measure to Evaluate Transferability of Learned Representations

27 February 2020

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

42 / 42 papers shown

Title
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 47 0 0 09 Apr 2025
Ranking pre-trained segmentation models for zero-shot transferability Joshua Talks Anna Kreshuk 104 0 0 01 Mar 2025
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing Yi-Kai Zhang De-Chuan Zhan Han-Jia Ye ALM ELM LRM 36 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 73 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 41 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
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 43 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 39 1 0 05 Apr 2024
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 28 4 0 28 Mar 2024
Efficient Stitchable Task Adaptation Haoyu He Zizheng Pan Jing Liu Jianfei Cai Bohan Zhuang 24 3 0 29 Nov 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 19 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 19 4 0 14 Aug 2023
ETran: Energy-Based Transferability Estimation Mohsen Gholami Mohammad Akbari Xinglu Wang Behnam Kamranian Yong Zhang 18 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 24 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 15 2 0 12 May 2023
Approximately optimal domain adaptation with Fisher's Linear Discriminant Hayden S. Helm Ashwin De Silva Joshua T. Vogelstein Carey E. Priebe Weiwei Yang 24 2 0 27 Feb 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 43 20 0 27 Feb 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 38 10 0 01 Dec 2022
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 12 4 0 13 Sep 2022
Sort by Structure: Language Model Ranking as Dependency Probing Max Müller-Eberstein Rob van der Goot Barbara Plank 30 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 15 4 0 08 Jun 2022
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting IV WilliamH.Clark Alan J. Michaels 8 2 0 07 May 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 19 22 0 07 Apr 2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning Cédric Renggli Xiaozhe Yao Luka Kolar Luka Rimanic Ana Klimovic Ce Zhang OOD 19 4 0 04 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 27 22 0 04 Apr 2022
Probing for Labeled Dependency Trees Max Müller-Eberstein Rob van der Goot Barbara Plank 9 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 19 26 0 10 Mar 2022
Memory Efficient Continual Learning with Transformers B. Ermiş Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 21 42 0 09 Mar 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 17 100 0 15 Jan 2022
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 11 57 0 24 Nov 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 12 9 0 15 Jul 2021
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection Won-Jo Lee Seokhyun Byun Jooeun Kim Minje Park Kirill Chechil AI4TS 16 2 0 01 Jul 2021
Frustratingly Easy Transferability Estimation Long-Kai Huang Ying Wei Yu Rong Qiang Yang Junzhou Huang 25 57 0 17 Jun 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning Kaichao You Yong Liu Jianmin Wang Mingsheng Long 16 178 0 22 Feb 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 107 46 0 29 Jan 2021
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 21 23 0 13 Oct 2020
Modularizing Deep Learning via Pairwise Learning With Kernels Shiyu Duan Shujian Yu José C. Príncipe MoMe 17 20 0 12 May 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 788 0 19 Feb 2009