Communication-efficient clustered federated learning via model distance.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3869, doi. 10.1007/s10994-023-06443-5
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- Publication type:
- Article
Works matching IS 08856125 AND DT 2024 AND VI 113 AND IP 6
Results: 26
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Hybrid acceleration techniques for the physics-informed neural networks: a comparative analysis.
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- Machine Learning, 2024, v. 113, n. 6, p. 3675, doi. 10.1007/s10994-023-06442-6
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- Article
3
Multi-label image classification with multi-layered multi-perspective dynamic semantic representation.
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- Machine Learning, 2024, v. 113, n. 6, p. 3443, doi. 10.1007/s10994-023-06440-8
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- Article
4
Exploiting counter-examples for active learning with partial labels.
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- Machine Learning, 2024, v. 113, n. 6, p. 3849, doi. 10.1007/s10994-023-06485-9
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- Publication type:
- Article
5
Better schedules for low precision training of deep neural networks.
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- Machine Learning, 2024, v. 113, n. 6, p. 3569, doi. 10.1007/s10994-023-06480-0
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- Article
6
A neural meta model for predicting winter wheat crop yield.
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- Machine Learning, 2024, v. 113, n. 6, p. 3771, doi. 10.1007/s10994-023-06455-1
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- Publication type:
- Article
7
Chinese character recognition with radical-structured stroke trees.
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- Machine Learning, 2024, v. 113, n. 6, p. 3807, doi. 10.1007/s10994-023-06450-6
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- Article
8
Sanitized clustering against confounding bias.
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- Machine Learning, 2024, v. 113, n. 6, p. 3711, doi. 10.1007/s10994-023-06451-5
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- Article
9
Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity.
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- Machine Learning, 2024, v. 113, n. 6, p. 3419, doi. 10.1007/s10994-023-06446-2
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- Article
10
Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting.
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- Machine Learning, 2024, v. 113, n. 6, p. 3399, doi. 10.1007/s10994-023-06445-3
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- Article
11
Learning de-biased regression trees and forests from complex samples.
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- Machine Learning, 2024, v. 113, n. 6, p. 3379, doi. 10.1007/s10994-023-06439-1
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- Article
12
Neural network structure simplification by assessing evolution in node weight magnitude.
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- Machine Learning, 2024, v. 113, n. 6, p. 3693, doi. 10.1007/s10994-023-06438-2
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- Article
13
Bayesian tensor factorisations for time series of counts.
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- Machine Learning, 2024, v. 113, n. 6, p. 3731, doi. 10.1007/s10994-023-06441-7
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- Article
14
Compositional scene modeling with global object-centric representations.
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- Machine Learning, 2024, v. 113, n. 6, p. 3505, doi. 10.1007/s10994-023-06419-5
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- Publication type:
- Article
15
Tracking treatment effect heterogeneity in evolving environments.
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- Machine Learning, 2024, v. 113, n. 6, p. 3653, doi. 10.1007/s10994-023-06421-x
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- Publication type:
- Article
16
Nrat: towards adversarial training with inherent label noise.
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- Machine Learning, 2024, v. 113, n. 6, p. 3589, doi. 10.1007/s10994-023-06437-3
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- Publication type:
- Article
17
Style spectroscope: improve interpretability and controllability through Fourier analysis.
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- Machine Learning, 2024, v. 113, n. 6, p. 3485, doi. 10.1007/s10994-023-06435-5
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- Publication type:
- Article
18
Reduced implication-bias logic loss for neuro-symbolic learning.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3357, doi. 10.1007/s10994-023-06436-4
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- Publication type:
- Article
19
Online binary classification from similar and dissimilar data.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3463, doi. 10.1007/s10994-023-06434-6
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- Article
20
Scalable variable selection for two-view learning tasks with projection operators.
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- Machine Learning, 2024, v. 113, n. 6, p. 3525, doi. 10.1007/s10994-023-06433-7
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- Article
21
Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3611, doi. 10.1007/s10994-023-06432-8
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- Publication type:
- Article
22
Task-decoupled interactive embedding network for object detection.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3829, doi. 10.1007/s10994-023-06430-w
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- Publication type:
- Article
23
Understanding imbalanced data: XAI & interpretable ML framework.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3751, doi. 10.1007/s10994-023-06414-w
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- Article
24
Margin distribution and structural diversity guided ensemble pruning.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3545, doi. 10.1007/s10994-023-06429-3
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- Publication type:
- Article
25
Explaining neural networks without access to training data.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3633, doi. 10.1007/s10994-023-06428-4
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- Publication type:
- Article
26
Knowledge-aware image understanding with multi-level visual representation enhancement for visual question answering.
- Published in:
- Machine Learning, 2024, v. 113, n. 6, p. 3789, doi. 10.1007/s10994-023-06426-6
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- Publication type:
- Article