| PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data | Nov 22, 2020 | Anomaly DetectionMulti-Label Classification | —Unverified | 0 | 0 |
| Pseudo Labels Regularization for Imbalanced Partial-Label Learning | Mar 6, 2023 | Long-tail LearningPartial Label Learning | —Unverified | 0 | 0 |
| PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units | Jan 31, 2025 | Causal InferenceWeakly-supervised Learning | —Unverified | 0 | 0 |
| A Unified Approach to Count-Based Weakly-Supervised Learning | Nov 22, 2023 | Weakly-supervised Learning | —Unverified | 0 | 0 |
| Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration | Sep 24, 2018 | Image RegistrationWeakly-supervised Learning | —Unverified | 0 | 0 |
| RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels | Jan 1, 2023 | Learning with noisy labelsRepresentation Learning | —Unverified | 0 | 0 |
| Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization | Nov 17, 2016 | AttributeClustering | —Unverified | 0 | 0 |
| RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos | Mar 27, 2024 | RelationRetrieval | —Unverified | 0 | 0 |
| Realistic Evaluation of Deep Partial-Label Learning Algorithms | Feb 14, 2025 | Model SelectionPartial Label Learning | —Unverified | 0 | 0 |
| Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning | Nov 12, 2020 | Anomaly DetectionClustering | —Unverified | 0 | 0 |
