| Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty | Feb 10, 2025 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Learning with Instance-Dependent Label Noise: A Sample Sieve Approach | Oct 5, 2020 | Image ClassificationImage Classification with Label Noise | CodeCode Available | 1 | 5 |
| A Second-Order Approach to Learning with Instance-Dependent Label Noise | Dec 22, 2020 | Image ClassificationImage Classification with Label Noise | CodeCode Available | 1 | 5 |
| Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels | Feb 10, 2021 | Image ClassificationImage Classification with Human Noise | CodeCode Available | 1 | 5 |
| NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification | Mar 6, 2021 | image-classificationImage Classification with Label Noise | CodeCode Available | 1 | 5 |
| Adaptive Sample Selection for Robust Learning under Label Noise | Jun 29, 2021 | Image ClassificationImage Classification with Label Noise | CodeCode Available | 0 | 5 |
| A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? | Apr 2, 2024 | Image ClassificationImage Classification with Label Noise | CodeCode Available | 0 | 5 |
| PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels | Oct 22, 2021 | Image ClassificationImage Classification with Label Noise | CodeCode Available | 0 | 5 |
| Deep Active Learning in the Presence of Label Noise: A Survey | Feb 22, 2023 | Active LearningDiversity | —Unverified | 0 | 0 |
| Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation | Feb 28, 2021 | BenchmarkingGeneral Classification | —Unverified | 0 | 0 |
