mixup: Beyond Empirical Risk Minimization
Hongyi Zhang, Moustapha Cissé, Yann Dauphin, David López-Paz low
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Citation edge evidence
- A survey on semi-supervised learning→mixup: Beyond Empirical Risk MinimizationLegacy edge — source detail unavailable
- FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→mixup: Beyond Empirical Risk MinimizationLegacy edge — source detail unavailable
- AutoML: A survey of the state-of-the-art→mixup: Beyond Empirical Risk MinimizationLegacy edge — source detail unavailable
- Unsupervised Data Augmentation for Consistency Training→mixup: Beyond Empirical Risk MinimizationLegacy edge — source detail unavailable
- Automated Machine Learning→mixup: Beyond Empirical Risk MinimizationLegacy edge — source detail unavailable
- Neural Architecture Search: A Survey→mixup: Beyond Empirical Risk MinimizationLegacy edge — source detail unavailable
- mixup: Beyond Empirical Risk Minimization→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- mixup: Beyond Empirical Risk Minimization→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
- mixup: Beyond Empirical Risk Minimization→SMOTE: Synthetic Minority Over-sampling TechniqueLegacy edge — source detail unavailable
- mixup: Beyond Empirical Risk Minimization→Statistical Learning TheoryLegacy edge — source detail unavailable
- mixup: Beyond Empirical Risk Minimization→Aggregated Residual Transformations for Deep Neural NetworksLegacy edge — source detail unavailable
- mixup: Beyond Empirical Risk Minimization→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- mixup: Beyond Empirical Risk Minimization→Deep Speech 2: End-to-End Speech Recognition in English and MandarinLegacy edge — source detail unavailable
- AutoML: A survey of the state-of-the-art→SMOTE: Synthetic Minority Over-sampling TechniqueLegacy edge — source detail unavailable
- AutoML: A survey of the state-of-the-art→Neural Architecture Search: A SurveyLegacy edge — source detail unavailable
- AutoML: A survey of the state-of-the-art→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- A survey on semi-supervised learning→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
- A survey on semi-supervised learning→Statistical Learning TheoryLegacy edge — source detail unavailable
- FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
- FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→Unsupervised Data Augmentation for Consistency TrainingLegacy edge — source detail unavailable
- FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- Automated Machine Learning→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
- Automated Machine Learning→Neural Architecture Search: A SurveyLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| A survey on semi-supervised learning | 2019 | 2,636 |
| FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence | 2020 | 2,271 |
| AutoML: A survey of the state-of-the-art | 2020 | 1,705 |
| Unsupervised Data Augmentation for Consistency Training | 2019 | 1,624 |
| Automated Machine Learning | 2019 | 1,451 |
| Neural Architecture Search: A Survey | 2018 | 1,406 |
Links
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Topics
| Adversarial Robustness in Machine Learning | Computer Science |
| Anomaly Detection Techniques and Applications | Computer Science |
| Advanced Neural Network Applications | Computer Science |
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