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On Data Efficiency of Meta-learning

On Data Efficiency of Meta-learning

30 January 2021
Maruan Al-Shedivat
Liam Li
Eric Xing
Ameet Talwalkar
    FedML
ArXiv (abs)PDFHTML

Papers citing "On Data Efficiency of Meta-learning"

15 / 15 papers shown
Title
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Luc Raszewski
Christine De Kock
124
0
0
12 Jun 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
102
1
0
23 Mar 2025
Generalized Coverage for More Robust Low-Budget Active Learning
Generalized Coverage for More Robust Low-Budget Active Learning
Wonho Bae
Junhyug Noh
Danica J. Sutherland
134
4
0
16 Jul 2024
Scaling Up Personalized Aesthetic Assessment via Task Vector
  Customization
Scaling Up Personalized Aesthetic Assessment via Task Vector Customization
Jooyeol Yun
Jaegul Choo
MoMe
70
2
0
09 Jul 2024
Decentralized Personalized Federated Learning
Decentralized Personalized Federated Learning
Salma Kharrat
Marco Canini
Samuel Horváth
FedML
126
0
0
10 Jun 2024
Exploring Active Learning in Meta-Learning: Enhancing Context Set
  Labeling
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
Wonho Bae
Jing Wang
Danica J. Sutherland
94
1
0
06 Nov 2023
Bayesian Personalized Federated Learning with Shared and Personalized
  Uncertainty Representations
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations
Hui Chen
Hengyu Liu
LongBing Cao
Tiancheng Zhang
FedML
98
3
0
27 Sep 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine
  Learning Techniques in Water Resources
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
J. Willard
C. Varadharajan
X. Jia
Vipin Kumar
AI4TS
81
4
0
18 Aug 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
117
10
0
23 Feb 2023
Blinder: End-to-end Privacy Protection in Sensing Systems via
  Personalized Federated Learning
Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning
Xin Yang
Omid Ardakanian
62
3
0
24 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
L. Yao
BDL
166
24
0
01 Sep 2022
Metappearance: Meta-Learning for Visual Appearance Reproduction
Metappearance: Meta-Learning for Visual Appearance Reproduction
Michael Fischer
Tobias Ritschel
3DH
68
10
0
19 Apr 2022
Self-Aware Personalized Federated Learning
Self-Aware Personalized Federated Learning
Huili Chen
Jie Ding
Eric W. Tramel
Shuang Wu
Anit Kumar Sahu
Salman Avestimehr
Tao Zhang
FedML
87
27
0
17 Apr 2022
MVDG: A Unified Multi-view Framework for Domain Generalization
MVDG: A Unified Multi-view Framework for Domain Generalization
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
81
32
0
23 Dec 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Rajagopal Setlur
Oscar Li
Virginia Smith
161
13
0
23 Feb 2021
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