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Meta-Learning: A Survey

Meta-Learning: A Survey

8 October 2018
Joaquin Vanschoren
    FedML
    OOD
ArXivPDFHTML

Papers citing "Meta-Learning: A Survey"

50 / 125 papers shown
Title
PREMISE: Matching-based Prediction for Accurate Review Recommendation
PREMISE: Matching-based Prediction for Accurate Review Recommendation
Wei Han
Hui Chen
Soujanya Poria
47
0
0
02 May 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
23
0
0
08 Apr 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
86
1
0
22 Jan 2025
Multi-Robot Motion Planning with Diffusion Models
Multi-Robot Motion Planning with Diffusion Models
Yorai Shaoul
Itamar Mishani
Shivam Vats
Jiaoyang Li
Maxim Likhachev
DiffM
45
5
0
04 Oct 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware
  Prompting
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
42
1
0
24 Jun 2024
Quantum Architecture Search: A Survey
Quantum Architecture Search: A Survey
Darya Martyniuk
Johannes Jung
Adrian Paschke
AI4CE
36
7
0
10 Jun 2024
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named
  Entity Recognition
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
Haojie Zhang
Yimeng Zhuang
43
0
0
26 Apr 2024
Levels of AI Agents: from Rules to Large Language Models
Levels of AI Agents: from Rules to Large Language Models
Yu Huang
AI4CE
ELM
LM&Ro
43
2
0
06 Mar 2024
Vision-Based Hand Gesture Customization from a Single Demonstration
Vision-Based Hand Gesture Customization from a Single Demonstration
Soroush Shahi
Cori Tymoszek Park
Richard Kang
Asaf Liberman
Oron Levy
Jun Gong
Abdelkareem Bedri
Gierad Laput
19
2
0
13 Feb 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
20
3
0
20 Jan 2024
MotherNet: Fast Training and Inference via Hyper-Network Transformers
MotherNet: Fast Training and Inference via Hyper-Network Transformers
Andreas Müller
Carlo Curino
Raghu Ramakrishnan
LMTD
40
2
0
14 Dec 2023
A knowledge-driven AutoML architecture
A knowledge-driven AutoML architecture
C. Cofaru
Johan Loeckx
23
0
0
28 Nov 2023
Solving Expensive Optimization Problems in Dynamic Environments with
  Meta-learning
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
Huan Zhang
Jinliang Ding
Liang Feng
Kay Chen Tan
Ke Li
29
3
0
19 Oct 2023
Domain Adaptive Few-Shot Open-Set Learning
Domain Adaptive Few-Shot Open-Set Learning
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
29
2
0
22 Sep 2023
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
B. Xi
Kevin Scaria
Paulo Shakarian
Paulo Shakarian
34
2
0
28 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in
  Recommender Systems?
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Davide Buffelli
Ashish Gupta
Agnieszka Strzalka
Vassilis Plachouras
OffRL
LRM
29
1
0
16 Aug 2023
Towards a population-informed approach to the definition of data-driven
  models for structural dynamics
Towards a population-informed approach to the definition of data-driven models for structural dynamics
G. Tsialiamanis
N. Dervilis
D. Wagg
K. Worden
AI4CE
34
5
0
19 Jul 2023
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees
Aleksei G. Sorokin
Xinran Zhu
E. Lee
Bolong Cheng
30
2
0
10 Jul 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Taha Toghani
Sebastian Perez-Salazar
César A. Uribe
29
2
0
20 May 2023
Automatic learning algorithm selection for classification via
  convolutional neural networks
Automatic learning algorithm selection for classification via convolutional neural networks
S. Maldonado
Carla Vairetti
Ignacio Figueroa
29
0
0
16 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
28
4
0
13 May 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
A Bag-of-Prototypes Representation for Dataset-Level Applications
Wei-Chih Tu
Weijian Deng
Tom Gedeon
Liang Zheng
38
9
0
23 Mar 2023
Towards Personalized Preprocessing Pipeline Search
Towards Personalized Preprocessing Pipeline Search
Diego Martinez
Daochen Zha
Qiaoyu Tan
Xia Hu
AI4TS
29
2
0
28 Feb 2023
Online Loss Function Learning
Online Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
30
5
0
30 Jan 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Athul Shibu
Abhishek Kumar
Heechul Jung
Dong-Gyu Lee
17
1
0
26 Jan 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau
  Envelopes
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes
Konstantin Mishchenko
Slavomír Hanzely
Peter Richtárik
FedML
29
5
0
17 Jan 2023
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Prabhant Singh
Joaquin Vanschoren
OOD
28
3
0
01 Nov 2022
Which is the best model for my data?
Which is the best model for my data?
Gonzalo Nápoles
Isel Grau
Çiçek Güven
Orçun Özdemir
Yamisleydi Salgueiro
19
0
0
26 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space
MARS: Meta-Learning as Score Matching in the Function Space
Krunoslav Lehman Pavasovic
Jonas Rothfuss
Andreas Krause
BDL
30
4
0
24 Oct 2022
MetaEMS: A Meta Reinforcement Learning-based Control Framework for
  Building Energy Management System
MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System
Huiliang Zhang
Di Wu
Benoit Boulet
21
6
0
23 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated Learning
Taha Toghani
Soomin Lee
César A. Uribe
FedML
34
6
0
03 Oct 2022
A Closer Look at Learned Optimization: Stability, Robustness, and
  Inductive Biases
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison
Luke Metz
Jascha Narain Sohl-Dickstein
47
22
0
22 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
FedML
29
11
0
19 Sep 2022
Selecting Related Knowledge via Efficient Channel Attention for Online
  Continual Learning
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Ya-nan Han
Jian-wei Liu
CLL
22
0
0
09 Sep 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning
  for Click-Through Rate Prediction
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction
Xianghang Liu
Bartlomiej Twardowski
Tri Kurniawan Wijaya
FedML
26
1
0
30 Aug 2022
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using
  Graph Neural Networks
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks
H. Samoaa
Antonio Longa
Mazen Mohamad
M. Chehreghani
Philipp Leitner
GNN
19
9
0
25 Aug 2022
Hyperparameter Optimization for Unsupervised Outlier Detection
Hyperparameter Optimization for Unsupervised Outlier Detection
Yue Zhao
L. Akoglu
27
1
0
24 Aug 2022
Constraint-driven multi-task learning
Constraint-driven multi-task learning
B. Crețu
Andrew Cropper
32
1
0
24 Aug 2022
Weak Supervision in Analysis of News: Application to Economic Policy Uncertainty
Paul Trust
A. Zahran
R. Minghim
11
0
0
10 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic
  Meta-Learning
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Konstantinos Kalais
S. Chatzis
BDL
34
8
0
02 Aug 2022
problexity -- an open-source Python library for binary classification
  problem complexity assessment
problexity -- an open-source Python library for binary classification problem complexity assessment
Joanna Komorniczak
Pawel Ksieniewicz
20
4
0
14 Jul 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via
  Sequence Modeling
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Tung Nguyen
Aditya Grover
BDL
UQCV
19
99
0
09 Jul 2022
Image Coding for Machines with Omnipotent Feature Learning
Image Coding for Machines with Omnipotent Feature Learning
Ruoyu Feng
Xin Jin
Zongyu Guo
Runsen Feng
Yixin Gao
Tianyu He
Zhizheng Zhang
Simeng Sun
Zhibo Chen
VLM
34
36
0
05 Jul 2022
Provable Generalization of Overparameterized Meta-learning Trained with
  SGD
Provable Generalization of Overparameterized Meta-learning Trained with SGD
Yu Huang
Yingbin Liang
Longbo Huang
MLT
26
8
0
18 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes
Yumeng Li
Ni Gao
Hanna Ziesche
Gerhard Neumann
29
5
0
14 Jun 2022
Lightweight Conditional Model Extrapolation for Streaming Data under
  Class-Prior Shift
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift
Paulina Tomaszewska
Christoph H. Lampert
28
0
0
10 Jun 2022
Cross-subject Action Unit Detection with Meta Learning and
  Transformer-based Relation Modeling
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling
Jiyuan Cao
Zhilei Liu
Yong Zhang
ViT
25
2
0
18 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
Warm-starting DARTS using meta-learning
Warm-starting DARTS using meta-learning
Matej Grobelnik
Joaquin Vanschoren
AI4CE
27
1
0
12 May 2022
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