| Mirror Sample Based Distribution Alignment for Unsupervised Domain Adaption | Jan 1, 2021 | Domain AdaptationLearning Theory | —Unverified | 0 |
| Why Mixup Improves the Model Performance | Jun 11, 2020 | BIG-bench Machine LearningData Augmentation | —Unverified | 0 |
| Model Zoo: A Growing Brain That Learns Continually | Sep 29, 2021 | Continual LearningLearning Theory | —Unverified | 0 |
| Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information | Sep 5, 2022 | Learning TheoryMulti-Task Learning | —Unverified | 0 |
| Monotonic Learning in the PAC Framework: A New Perspective | Jan 9, 2025 | Learning TheoryPAC learning | —Unverified | 0 |
| MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images | Oct 22, 2022 | Image SegmentationLearning Theory | —Unverified | 0 |
| Multi-label Learning for Large Text Corpora using Latent Variable Model with Provable Gurantees | Jan 1, 2018 | Learning TheoryMulti-Label Learning | —Unverified | 0 |
| Multimodal large language models for inclusive collaboration learning tasks | Jul 1, 2022 | Learning Theory | —Unverified | 0 |
| Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications | Jun 26, 2020 | Dimensionality ReductionDisentanglement | —Unverified | 0 |
| Near Optimal Memory-Regret Tradeoff for Online Learning | Mar 3, 2023 | Learning Theory | —Unverified | 0 |
