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Papers matching “meta-learning” 39

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Understanding transfer learning and gradient-based meta-learning techniques
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

12

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Stateless neural meta-learning using second-order gradients
2022 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

9

citations
Few-shot and meta-learning methods for image understanding: a survey
2023 International Journal of Multimedia Information Retrieval article Computer Science Domain Adaptation and Few-Shot Learning Open access

Kai He, Nan Pu, Mingrui Lao, Michael S. Lew

45

citations
The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression Tasks
2023 Environmental Science & Technology article Computer Science Computational Drug Discovery Methods Open access

Thalea Schlender, Markus Viljanen, Jan N. van Rijn, Felix Mohr, Willie J.G.M. Peijnenburg, Holger H. Hoos, +2 more

43

citations
A survey of deep meta-learning
2021 Artificial Intelligence Review article Computer Science Domain Adaptation and Few-Shot Learning Open access

377

citations
A survey of deep meta-learning
2021 Data Archiving and Networked Services (DANS) article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Jan N. van Rijn, Aske Plaat

322

citations
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Data Classification Open access

Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos

0

citations
Meta-learning for symbolic hyperparameter defaults
2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access

Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren

6

citations
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Ruduan Benjamin Franklin Plug

0

citations
On Using Meta-Learning to Overcome Challenges in Speaker Localization
2023 IEEE EUROCON - International Conference on Smart Technologies (EUROCON) conference-paper Computer Science Speech and Audio Processing

Mahdi Barhoush, Ahmed Hallawah, Anke Schmeink

0

citations
A Meta-Learning Algorithm for Interrogative Agendas
2023 arXiv (Cornell University) preprint Computer Science Rough Sets and Fuzzy Logic Open access

Erman Acar, Andrea De Domenico, Krishna Manoorkar, Mattia Panettiere

2

citations
Improving unsupervised stain-to-stain translation using self-supervision and meta-learning
2022 Journal of Pathology Informatics article Computer Science AI in cancer detection Open access

Nassim Bouteldja, Barbara M. Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof

31

citations
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
2021 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Nassim Bouteldja, Barbara M. Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof

2

citations
Meta-Learning
2022 Springer eBooks book-chapter Computer Science Reinforcement Learning in Robotics

Aske Plaat

1

citations
Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning
2022 IEEE/ACM Transactions on Audio Speech and Language Processing article Computer Science Speech and Audio Processing

Mahdi Barhoush, Ahmed Hallawa, Arne Peine, Lukas Märtin, Anke Schmeink

22

citations
Few-Shot Malware Traffic Classification Method Using Network Traffic and Meta Transfer Learning
2022 IEEE Vehicular Technology Conference conference-paper Computer Science Advanced Malware Detection Techniques

Hanyi Guo, Xixi Zhang, Yu Wang, Bamidele Adebisi, Haris Gacanin, Guan Gui

6

citations
Subspace Adaptation Prior for Few-Shot Learning
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

4

citations
Subspace Adaptation Prior for Few-Shot Learning
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Meta Reconciliation Normalization for Lifelong Person Re-Identification
2022 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Video Surveillance and Tracking Methods Open access

Nan Pu, Yu Liu, Wei Chen, Erwin M. Bakker, Michael S. Lew

34

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck

24

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck

3

citations
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li

0

citations
Are LSTMs good few-shot learners?
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn

12

citations
Are LSTMs Good Few-Shot Learners?
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn

0

citations