ML&DM-Seminar (Seminar on Machine Learning and Data Mining) 是一个以机器学习与数据挖掘为主题的线上中文研讨班。在每一次研讨班中，会有1-2位学生或邀请嘉宾分享其近期的工作。欢迎大家积极参与交流！
Schedule
2024
| Time | Speaker | Talk Title | Papers | Slides |
| 1/23 | Tian-Shuang Wu | Compressing Models with Few Samples: Mimicking then Replacing (CVPR 2022) | [1] [2] | [1] |
| 1/30 | Tian-Shuang Wu | Practical Network Acceleration with Tiny Sets (CVPR 2023) | [1] | [1] |
| 1/30 | Ning Chen | Summary of Multi-Label Learning | [1] [2] [3] | [1] |
| 2/6 | Ning Chen | Scalable Label Distribution Learning for Multi-Label Classification (ArXiv 2023) | [1] | [1] |
| 3/5 | Ning Chen | A k-Nearest Neighbor Based Algorithm for Multi-label Classification (ICGC 2005) | [1] | [1] |
| 3/5 | Tian-Shuang Wu | Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks (WACV 2018) | [1] | [1] |
| 4/2 | Tian-Shuang Wu | Open-Sampling Exploring Out-of-Distribution Data for Re-balancing (ICML 2022) | [1] | [1] |
| 4/13 | Ning Chen | Progressive Enhancement of Label Distributions for Partial Multilabel Learning (TNNLS 2023) | [1] | [1] |
| 5/4 | Ning Chen | Multi-Label Supervised Contrastive Learning (AAAI 2024) | [1] | [1] |
Organizers
吕沈欢 （河海大学）