Stabilize deep ResNet with a sharp scaling factor τ.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3359, doi. 10.1007/s10994-022-06192-x
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- Publication type:
- Article
Works matching IS 08856125 AND DT 2022 AND VI 111 AND IP 9
Results: 12
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2
Towards harnessing feature embedding for robust learning with noisy labels.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3181, doi. 10.1007/s10994-022-06197-6
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- Publication type:
- Article
3
Pruning convolutional neural networks via filter similarity analysis.
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- Machine Learning, 2022, v. 111, n. 9, p. 3161, doi. 10.1007/s10994-022-06193-w
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- Publication type:
- Article
4
Recursive tree grammar autoencoders.
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- Machine Learning, 2022, v. 111, n. 9, p. 3393, doi. 10.1007/s10994-022-06223-7
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- Publication type:
- Article
5
Explainable online ensemble of deep neural network pruning for time series forecasting.
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- Machine Learning, 2022, v. 111, n. 9, p. 3459, doi. 10.1007/s10994-022-06218-4
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- Publication type:
- Article
6
On the robustness of randomized classifiers to adversarial examples.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3425, doi. 10.1007/s10994-022-06216-6
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- Publication type:
- Article
7
An adaptive polyak heavy-ball method.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3245, doi. 10.1007/s10994-022-06215-7
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- Publication type:
- Article
8
The pure exploration problem with general reward functions depending on full distributions.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3279, doi. 10.1007/s10994-022-06214-8
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- Publication type:
- Article
9
Wasserstein-based fairness interpretability framework for machine learning models.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3307, doi. 10.1007/s10994-022-06213-9
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- Publication type:
- Article
10
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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- Publication type:
- Article
11
Machine unlearning: linear filtration for logit-based classifiers.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3203, doi. 10.1007/s10994-022-06178-9
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- Publication type:
- Article
12
Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study.
- Published in:
- Machine Learning, 2022, v. 111, n. 9, p. 3125, doi. 10.1007/s10994-020-05943-y
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- Publication type:
- Article