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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
ArXivPDFHTML

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 Models
Yang Shu
Zhangjie Cao
Ziyang Zhang
Jianmin Wang
Mingsheng Long
17
4
0
08 Jun 2022
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Yang Shu
Zhi Kou
Zhangjie Cao
Jianmin Wang
Mingsheng Long
29
44
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
22
5
0
01 May 2021
Interventional Few-Shot Learning
Interventional Few-Shot Learning
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
26
225
0
28 Sep 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
1