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A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
v1v2v3v4v5v6v7 (latest)

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

17 April 2020
Huimin Peng
    VLMOffRL
ArXiv (abs)PDFHTML

Papers citing "A Comprehensive Overview and Survey of Recent Advances in Meta-Learning"

17 / 17 papers shown
Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation
Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation
Rifny Rachman
Josh Tingey
Richard Allmendinger
Pradyumn Shukla
Wei Pan
164
2
0
26 Jul 2025
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization
Moncef Garouani
269
3
0
08 Apr 2025
Online Meta-learning for AutoML in Real-time (OnMAR)
Online Meta-learning for AutoML in Real-time (OnMAR)
Mia Gerber
Anna Sergeevna Bosman
J. D. Villiers
OffRL
307
0
0
27 Feb 2025
Transfer learning via Regularized Linear Discriminant Analysis
Transfer learning via Regularized Linear Discriminant Analysis
Hongzhe Zhang
Arnab Auddy
Hongzhe Lee
431
0
0
05 Jan 2025
Memory-Reduced Meta-Learning with Guaranteed Convergence
Memory-Reduced Meta-Learning with Guaranteed ConvergenceAAAI Conference on Artificial Intelligence (AAAI), 2024
Honglin Yang
Ji Ma
Xiao Yu
322
1
0
16 Dec 2024
Meta-Learning Neural Procedural Biases
Meta-Learning Neural Procedural Biases
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhan
326
2
0
12 Jun 2024
Fast and Efficient Local Search for Genetic Programming Based Loss
  Function Learning
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
374
5
0
01 Mar 2024
Meta-Learning Adaptive Loss Functions
Meta-Learning Adaptive Loss Functions
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
289
5
0
30 Jan 2023
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and DirectionsIEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
424
73
0
24 Oct 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Learning Symbolic Model-Agnostic Loss Functions via Meta-LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
FedML
295
17
0
19 Sep 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning
  Approach for Advertiser Modeling
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser ModelingWeb Search and Data Mining (WSDM), 2022
Qianqian Zhang
Xinru Liao
Quanlian Liu
Jian Xu
Bo Zheng
285
79
0
18 Jan 2022
Multimodality in Meta-Learning: A Comprehensive Survey
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
320
74
0
28 Sep 2021
A Brief Summary of Interactions Between Meta-Learning and
  Self-Supervised Learning
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning
Huimin Peng
SSL
320
5
0
01 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
496
837
0
28 Feb 2021
A Brief Survey of Associations Between Meta-Learning and General AI
A Brief Survey of Associations Between Meta-Learning and General AI
Huimin Peng
167
4
0
12 Jan 2021
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform
  for NLP Applications
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsInternational Conference on Information and Knowledge Management (CIKM), 2020
Minghui Qiu
Peng Li
Chengyu Wang
Hanjie Pan
Yaliang Li
...
Jun Yang
Yaliang Li
Yanjie Liang
Deng Cai
Jialin Li
VLMSyDa
425
20
0
18 Nov 2020
Learning from similarity and information extraction from structured
  documents
Learning from similarity and information extraction from structured documentsInternational Journal on Document Analysis and Recognition (IJDAR), 2020
Martin Holecek
252
8
0
17 Oct 2020
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