| 1 | Learning the parts of objects by non-negative matrix factorization(NMF) | 李嘉炜、季子康 | 季子康 | 李小昂 | 李嘉炜 | 吴奇奇 | |
| 2 | 1-U-net- Convolutional networks for biomedical image segmentation | 谌子诚 | 谌子诚 | 何琪 | 王瑞 | 覃彬峻 | |
| 3 | Regression shrinkage and selection via the lasso | 杜朔 | 杜朔 | 周诚远 | 杨鑫 | 宋勇君 | |
| 4 | BERT- Pre-training of Deep Bidirectional Transformers for Language Understanding | 卢文轩 | 卢文轩 | 孙晓鹏 | 任万华 | 毛仕方 | |
| 5 | Human-level control through deep reinforcement learning | 张佳豪 | 张佳豪 | 李钰心 | 孙晨光 | 杨皓淳 | 金雨展 |
| 6 | Deep Residual Learning for Image Recognition | 刘泽佑 | 刘泽佑 | 朱文韬 | 戴慧敏 | 王靖元 | 邱昊杰 |
| 7 | End-to-end incremental learning | 李崇 | 李崇 | 舒子强 | 李磊 | 艾先泽 | |
| 8 | Deep subspace clustering networks | 冉菲菲 | 冉菲菲 | 徐瑾怡 | 王净 | 马倩 | 巨璐珊 |
| 9 | MLSys-2019-towards-federated-learning-at-scale-system-design-Paper | 孙泽 | 孙泽 | 冯锐旭 | 王屹亮 | 李浩东 | 邰宇浩 |
| 10 | Clustering by fast search and find of density peaks | 赵师瑶，李燕飞 | 赵师瑶 | 宋文超 | 元玉蒲 | 李燕飞 | 刘水云 |
| 11 | NIPS-2015-deep-knowledge-tracing-Paper | 王笑 | 张薇 | 杨梦婷 | 王笑 | 于强 | 高鑫 |
| 12 | Complex brain networks-graph theoretical analysis of structural and functional systems | 张海洋 | 胡华文 | 岳晨曦 | 刘心梦 | 张海洋 | 李傲 |
| 13 | A simple framework for contrastive learning of visual representations | 宋冰洁 | 曾庆捷 | 路子霖 | 张成林 | 宋冰洁 | |
| 14 | Meta-Learning_in_Neural_Networks_A_Survey | 匡现铭 | 匡现铭 | 邢霜 | 杨博源 | 曾聪颖 | 段慧娟 |
| 15 | Reconciling modern machine-learning practice and the classical bias–variance trade-off | 杨李阳 | 杨李阳 | 田文龙 | 刘浩洋 | | |
| 16 | MLSys-2019-towards-federated-learning-at-scale-system-design-Paper | 纪雨鑫 | 丁宇 | 李诚 | 陈雯琪 | 纪雨鑫 | 徐涛 |