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A Survey on Machine Learning from Few Samples

A Survey on Machine Learning from Few Samples

6 September 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
ArXivPDFHTML

Papers citing "A Survey on Machine Learning from Few Samples"

12 / 12 papers shown
Title
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
46
13
0
15 Mar 2023
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
Wenhao Yu
John E. Herr
Olaf Wiest
Meng Jiang
Nitesh Chawla
AI4CE
119
171
0
16 Feb 2021
Weakly Supervised Learning for Facial Behavior Analysis : A Review
Weakly Supervised Learning for Facial Behavior Analysis : A Review
G. Praveen
Member Ieee Eric Granger
Member Ieee Patrick Cardinal
CVBM
37
6
0
25 Jan 2021
MatchingGAN: Matching-based Few-shot Image Generation
MatchingGAN: Matching-based Few-shot Image Generation
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
VLM
GAN
58
68
0
07 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,591
0
21 Jan 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
112
718
0
13 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
192
351
0
12 Jun 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
228
500
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
178
666
0
07 Jun 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
224
292
0
01 May 2018
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
487
11,727
0
09 Mar 2017
Using Deep Learning and Google Street View to Estimate the Demographic
  Makeup of the US
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
Timnit Gebru
J. Krause
Yilun Wang
Duyun Chen
Jia Deng
Erez Aiden Lieberman
Li Fei-Fei
HAI
93
414
0
22 Feb 2017
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