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Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

31 July 2017
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
ArXivPDFHTML

Papers citing "Meta-SGD: Learning to Learn Quickly for Few-Shot Learning"

22 / 222 papers shown
Title
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Yunxiao Qin
Chenxu Zhao
Xiangyu Zhu
Zezheng Wang
Zitong Yu
Tianyu Fu
Feng Zhou
Jingping Shi
Zhen Lei
CVBM
24
115
0
29 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
40
128
0
17 Apr 2019
Provable Guarantees for Gradient-Based Meta-Learning
Provable Guarantees for Gradient-Based Meta-Learning
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
FedML
39
147
0
27 Feb 2019
Adaptive Cross-Modal Few-Shot Learning
Adaptive Cross-Modal Few-Shot Learning
Chen Xing
Negar Rostamzadeh
Boris N. Oreshkin
Pedro H. O. Pinheiro
33
271
0
19 Feb 2019
Few-shot Learning with Meta Metric Learners
Few-shot Learning with Meta Metric Learners
Yu Cheng
Mo Yu
Xiaoxiao Guo
Bowen Zhou
30
19
0
26 Jan 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Björn Barz
Joachim Denzler
27
129
0
25 Jan 2019
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Bin Liu
Zhirong Wu
Han Hu
Stephen Lin
29
63
0
20 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
57
31
0
18 Dec 2018
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
75
1,061
0
06 Dec 2018
One-Shot Instance Segmentation
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
37
89
0
28 Nov 2018
Fast Context Adaptation via Meta-Learning
Fast Context Adaptation via Meta-Learning
L. Zintgraf
K. Shiarlis
Vitaly Kurin
Katja Hofmann
Shimon Whiteson
18
37
0
08 Oct 2018
Improving Generalization via Scalable Neighborhood Component Analysis
Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu
Alexei A. Efros
Stella X. Yu
BDL
22
144
0
14 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
29
71
0
14 Aug 2018
Large Margin Few-Shot Learning
Large Margin Few-Shot Learning
Yong Wang
Xiao-Ming Wu
Qimai Li
Jiatao Gu
Wangmeng Xiang
Lei Zhang
V. Li
MQ
37
29
0
08 Jul 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
178
666
0
07 Jun 2018
On the Importance of Attention in Meta-Learning for Few-Shot Text
  Classification
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
Xiang Jiang
Mohammad Havaei
Gabriel Chartrand
Hassan Chouaib
Thomas Vincent
Andrew Jesson
Nicolas Chapados
Stan Matwin
VLM
16
18
0
03 Jun 2018
Meta-Learning Probabilistic Inference For Prediction
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
45
263
0
24 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning
Task-Agnostic Meta-Learning for Few-shot Learning
Muhammad Abdullah Jamal
Guo-Jun Qi
M. Shah
52
456
0
20 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel
  categories with few examples
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples
Xiu-Shen Wei
Peng Wang
Lingqiao Liu
Chunhua Shen
Jianxin Wu
27
124
0
11 May 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
34
388
0
22 Feb 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
888
0
11 Nov 2017
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
496
11,727
0
09 Mar 2017
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