| AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning | Jul 21, 2024 | Partial Label LearningPartially Labeled Datasets | CodeCode Available | 0 |
| Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation | Jul 17, 2024 | Organ SegmentationPartially Labeled Datasets | —Unverified | 0 |
| Real World Federated Learning with a Knowledge Distilled Transformer for Cardiac CT Imaging | Jul 10, 2024 | Federated LearningPartially Labeled Datasets | CodeCode Available | 0 |
| Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge | Jun 22, 2024 | Partially Labeled Datasets | CodeCode Available | 0 |
| Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification | May 24, 2024 | BenchmarkingData Augmentation | —Unverified | 0 |
| Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery | Aug 23, 2023 | class-incremental learningClass Incremental Learning | CodeCode Available | 0 |
| The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data | May 22, 2023 | Causal InferencePartially Labeled Datasets | —Unverified | 0 |
| COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training | Apr 27, 2023 | Computed Tomography (CT)Medical Image Segmentation | —Unverified | 0 |
| Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation | Feb 7, 2023 | Organ SegmentationPartially Labeled Datasets | —Unverified | 0 |
| Composite Learning for Robust and Effective Dense Predictions | Oct 13, 2022 | Boundary DetectionDepth Estimation | —Unverified | 0 |
