Found: 12
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Understanding transfer learning and gradient-based meta-learning techniques.
- Published in:
- Machine Learning, 2024, v. 113, n. 7, p. 4113, doi. 10.1007/s10994-023-06387-w
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- Article
Automated machine learning: past, present and future.
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- Artificial Intelligence Review, 2024, v. 57, n. 5, p. 1, doi. 10.1007/s10462-024-10726-1
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- Article
Hyperparameter importance and optimization of quantum neural networks across small datasets.
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- Machine Learning, 2024, v. 113, n. 4, p. 1941, doi. 10.1007/s10994-023-06389-8
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- Article
Subspace Adaptation Prior for Few-Shot Learning.
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- Machine Learning, 2024, v. 113, n. 2, p. 725, doi. 10.1007/s10994-023-06393-y
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- Article
Are LSTMs good few-shot learners?
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- Machine Learning, 2023, v. 112, n. 11, p. 4635, doi. 10.1007/s10994-023-06394-x
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- Article
Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio.
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- Machine Learning, 2022, v. 111, n. 12, p. 4565, doi. 10.1007/s10994-022-06212-w
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- Article
Stateless neural meta-learning using second-order gradients.
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- Machine Learning, 2022, v. 111, n. 9, p. 3227, doi. 10.1007/s10994-022-06210-y
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- Article
A survey of deep meta-learning.
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- Artificial Intelligence Review, 2021, v. 54, n. 6, p. 4483, doi. 10.1007/s10462-021-10004-4
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- Article
OpenML-Python: an extensible Python API for OpenML.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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- Article
Multi-task learning with a natural metric for quantitative structure activity relationship learning.
- Published in:
- Journal of Cheminformatics, 2019, v. 11, n. 1, p. N.PAG, doi. 10.1186/s13321-019-0392-1
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- Article
Speeding up algorithm selection using average ranking and active testing by introducing runtime.
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- Machine Learning, 2018, v. 107, n. 1, p. 79, doi. 10.1007/s10994-017-5687-8
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- Article
The online performance estimation framework: heterogeneous ensemble learning for data streams.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 149, doi. 10.1007/s10994-017-5686-9
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- Article