| Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks | Nov 19, 2015 | ClusteringGeneral Classification | CodeCode Available | 0 |
| Label-Noise Robust Generative Adversarial Networks | Nov 27, 2018 | Robust classification | CodeCode Available | 0 |
| Directly Handling Missing Data in Linear Discriminant Analysis for Enhancing Classification Accuracy and Interpretability | Jun 30, 2024 | ClassificationImputation | CodeCode Available | 0 |
| VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights | Oct 17, 2023 | Robust classification | CodeCode Available | 0 |
| The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification | Apr 27, 2022 | Binary ClassificationClassification | CodeCode Available | 0 |
| API-Net: Robust Generative Classifier via a Single Discriminator | Aug 1, 2020 | Robust classification | CodeCode Available | 0 |
| Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation | Nov 21, 2019 | Robust classification | CodeCode Available | 0 |
| Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness | Jun 7, 2019 | Adversarial DefenseFraud Detection | CodeCode Available | 0 |
| Analysis of classifiers robust to noisy labels | Jun 1, 2021 | Robust classification | CodeCode Available | 0 |
| Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels | May 4, 2017 | Binary ClassificationGeneral Classification | CodeCode Available | 0 |
