| PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers | Aug 19, 2023 | Multiple Instance LearningWeakly Supervised Classification | CodeCode Available | 1 | 5 |
| Instance-Dependent Partial Label Learning | Oct 25, 2021 | Partial Label LearningWeakly-supervised Learning | CodeCode Available | 1 | 5 |
| SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning | Sep 21, 2022 | Partial Label LearningWeakly-supervised Learning | CodeCode Available | 1 | 5 |
| Knodle: Modular Weakly Supervised Learning with PyTorch | Apr 23, 2021 | BenchmarkingBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations | Nov 7, 2023 | Cell DetectionCell Tracking | CodeCode Available | 0 | 5 |
| Analyzing Differentiable Fuzzy Logic Operators | Feb 14, 2020 | Weakly-supervised Learning | CodeCode Available | 0 | 5 |
| Weakly Supervised Clustering by Exploiting Unique Class Count | Jun 18, 2019 | ClusteringMultiple Instance Learning | CodeCode Available | 0 | 5 |
| CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images | Aug 3, 2018 | Image ClassificationWeakly-supervised Learning | CodeCode Available | 0 | 5 |
| Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations | Dec 11, 2023 | Semantic SegmentationWeakly-supervised Learning | CodeCode Available | 0 | 5 |
| Learning 3D Shape Completion under Weak Supervision | May 18, 2018 | Weakly-supervised Learning | CodeCode Available | 0 | 5 |
