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An empirical study of pretrained representations for few-shot
  classification

An empirical study of pretrained representations for few-shot classification

3 October 2019
Tiago Ramalho
Laura Vana-Gur
P. Filzmoser
    VLM
ArXiv (abs)PDFHTML

Papers citing "An empirical study of pretrained representations for few-shot classification"

5 / 5 papers shown
Title
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Hub-Pathway: Transfer Learning from A Hub of Pre-trained ModelsNeural Information Processing Systems (NeurIPS), 2022
Yang Shu
Zhangjie Cao
Ziyang Zhang
Jianmin Wang
Mingsheng Long
221
6
0
08 Jun 2022
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Zoo-Tuning: Adaptive Transfer from a Zoo of ModelsInternational Conference on Machine Learning (ICML), 2021
Yang Shu
Zhi Kou
Zhangjie Cao
Jianmin Wang
Mingsheng Long
177
46
0
29 Jun 2021
A Deep Learning Framework for Lifelong Machine Learning
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling
Tanner A. Bohn
CLL
76
5
0
01 May 2021
Interventional Few-Shot Learning
Interventional Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2020
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
358
257
0
28 Sep 2020
Identifying Statistical Bias in Dataset Replication
Identifying Statistical Bias in Dataset Replication
Logan Engstrom
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Jacob Steinhardt
Aleksander Madry
192
54
0
19 May 2020
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