| An Ensemble Approach Towards Adversarial Robustness | Jun 10, 2021 | Adversarial RobustnessRobust classification | —Unverified | 0 |
| Towards Robust Classification Model by Counterfactual and Invariant Data Generation | Jun 2, 2021 | Classificationcounterfactual | CodeCode Available | 1 |
| Analysis of classifiers robust to noisy labels | Jun 1, 2021 | Robust classification | CodeCode Available | 0 |
| Vision Transformers are Robust Learners | May 17, 2021 | Anomaly DetectionImage Classification | CodeCode Available | 1 |
| Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers | May 16, 2021 | Deep Learningimage-classification | —Unverified | 0 |
| An Effective Baseline for Robustness to Distributional Shift | May 15, 2021 | Deep LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| A Finer Calibration Analysis for Adversarial Robustness | May 4, 2021 | Adversarial RobustnessBIG-bench Machine Learning | —Unverified | 0 |
| If your data distribution shifts, use self-learning | Apr 27, 2021 | Domain AdaptationRobust classification | CodeCode Available | 1 |
| Robust Classification via Support Vector Machines | Apr 27, 2021 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Provable Robustness of Adversarial Training for Learning Halfspaces with Noise | Apr 19, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
