Frustratingly Easy Transferability Estimation

17 June 2021

Papers citing "Frustratingly Easy Transferability Estimation"

36 / 36 papers shown

Title
Multi-modal cascade feature transfer for polymer property prediction Kiichi Obuchi Yuta Yahagi Kiyohiko Toyama Shukichi Tanaka Kota Matsui 40 0 0 06 May 2025
k-NN as a Simple and Effective Estimator of Transferability Moein Sorkhei Christos Matsoukas Johan Fredin Haslum Kevin Smith 52 0 0 24 Mar 2025
Scaling Laws for Downstream Task Performance in Machine Translation Berivan Isik Natalia Ponomareva Hussein Hazimeh Dimitris Paparas Sergei Vassilvitskii Sanmi Koyejo 105 23 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
SAMEdge: An Edge-cloud Video Analytics Architecture for the Segment Anything Model Rui Lu Siping Shi Yanting Liu Dan Wang VLM 24 2 0 23 Sep 2024
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection Wenxiao Wang Weiming Zhuang Lingjuan Lyu 27 0 0 11 Jun 2024
Back to the Basics on Predicting Transfer Performance Levy G. Chaves Eduardo Valle Alceu Bissoto Sandra Avila MedIm 28 0 0 30 May 2024
Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport Akshay Mehra Yunbei Zhang Jihun Hamm OOD 24 1 0 02 May 2024
Model Selection with Model Zoo via Graph Learning Ziyu Li Hilco van der Wilk Danning Zhan Megha Khosla A. Bozzon Rihan Hai 33 1 0 05 Apr 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 33 0 0 03 Mar 2024
Which Model to Transfer? A Survey on Transferability Estimation Yuhe Ding Bo Jiang Aijing Yu Aihua Zheng Jian Liang 30 4 0 23 Feb 2024
Green Runner: A tool for efficient deep learning component selection Jai Kannan 17 2 0 29 Jan 2024
Simple Transferability Estimation for Regression Tasks Cuong N. Nguyen Phong Tran L. Ho Vu C. Dinh Anh Tran Tal Hassner Cuong V Nguyen 9 2 0 01 Dec 2023
Risk of Transfer Learning and its Applications in Finance Haoyang Cao Haotian Gu Xin Guo Mathieu Rosenbaum 8 0 0 06 Nov 2023
Unleashing the power of Neural Collapse for Transferability Estimation Yuhe Ding Bo Jiang Lijun Sheng Aihua Zheng Jian Liang CVBM 27 1 0 09 Oct 2023
Foundation Model is Efficient Multimodal Multitask Model Selector Fanqing Meng Wenqi Shao Zhanglin Peng Chong Jiang Kaipeng Zhang Yu Qiao Ping Luo 25 13 0 11 Aug 2023
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance Huiwen Xu U. Kang 6 7 0 11 Aug 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization Chuyan Zhang Yuncheng Yang Hao Zheng Yun Gu 16 0 0 28 Jul 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 24 6 0 22 Jul 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection Yadan Luo Zhuoxiao Chen Zhenying Fang Zheng-Wei Zhang Zi Huang Mahsa Baktashmotlagh 3DPC 13 12 0 16 Jul 2023
Towards Robust and Efficient Continual Language Learning Adam Fisch Amal Rannen-Triki Razvan Pascanu J. Bornschein Angeliki Lazaridou E. Gribovskaya MarcÁurelio Ranzato CLL 19 1 0 11 Jul 2023
Transferability Metrics for Object Detection Louis Fouquet Simona Maggio L. Dreyfus-Schmidt 8 1 0 27 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 19 22 0 06 Jun 2023
Feasibility of Transfer Learning: A Mathematical Framework Haoyang Cao Haotian Gu Xin Guo 13 4 0 22 May 2023
Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models Yi-Hsien Liu Tianle Han Siyuan Ma Jia-Yu Zhang Yuanyu Yang ... Xiang Li Ning Qiang Dingang Shen Tianming Liu Bao Ge ALM ELM AI4CE LM&MA LLMAG 26 452 0 04 Apr 2023
AugGPT: Leveraging ChatGPT for Text Data Augmentation Haixing Dai Zheng Liu Wenxiong Liao Xiaoke Huang Yihan Cao ... Lichao Sun Quanzheng Li Dinggang Shen Tianming Liu Xiang Li 36 148 0 25 Feb 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 10 0 0 17 Jan 2023
Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery? Ziqiao Zhang Yatao Bian Ailin Xie Peng Han Long-Kai Huang Shuigeng Zhou 25 5 0 21 Aug 2022
Continual Learning with Transformers for Image Classification B. Ermiş Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 41 21 0 28 Jun 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models Yang Shu Zhangjie Cao Ziyang Zhang Jianmin Wang Mingsheng Long 13 4 0 08 Jun 2022
Memory Efficient Continual Learning with Transformers B. Ermiş Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 19 42 0 09 Mar 2022
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance Shibal Ibrahim Natalia Ponomareva Rahul Mazumder AAML 106 15 0 13 Oct 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 105 46 0 29 Jan 2021
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 11 204 0 02 Sep 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 163 0 21 Aug 2019
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 159 1,748 0 02 Mar 2017