diff --git a/doc/imgs/esmm.png b/doc/imgs/esmm.png new file mode 100644 index 0000000000000000000000000000000000000000..73db53d999503832e893016c41917d962a9e3860 Binary files /dev/null and b/doc/imgs/esmm.png differ diff --git a/doc/imgs/mmoe.png b/doc/imgs/mmoe.png new file mode 100644 index 0000000000000000000000000000000000000000..5a64982d84c0897f051d2f5329a71e958d6cc16d Binary files /dev/null and b/doc/imgs/mmoe.png differ diff --git a/doc/imgs/share-bottom.png b/doc/imgs/share-bottom.png new file mode 100644 index 0000000000000000000000000000000000000000..f33872ffaf8d4ff815ba30e4918c091eb89fd812 Binary files /dev/null and b/doc/imgs/share-bottom.png differ diff --git a/models/multitask/readme.md b/models/multitask/readme.md index 9c58b33d56581d8c57837e67735164a675761b0d..dc58033819879b6c480b91450ffe6d40c7b4b15e 100755 --- a/models/multitask/readme.md +++ b/models/multitask/readme.md @@ -1,7 +1,7 @@ # 多任务学习模型库 ## 简介 -我们提供了常见的多任务学习中使用的模型算法的PaddleRec实现, 单机训练&预测效果指标以及分布式训练&预测性能指标等。实现的多任务模型包括 [MMoE](http://gitlab.baidu.com/tangwei12/paddlerec/tree/develop/models/multitask/mmoe)、[Share-Bottom](http://gitlab.baidu.com/tangwei12/paddlerec/tree/develop/models/multitask/share-bottom)、[ESMM](http://gitlab.baidu.com/tangwei12/paddlerec/tree/develop/models/multitask/esmm)。 +我们提供了常见的多任务学习中使用的模型算法的PaddleRec实现, 单机训练&预测效果指标以及分布式训练&预测性能指标等。实现的多任务模型包括 [MMoE](mmoe)、[Share-Bottom](share-bottom)、[ESMM](esmm)。 模型算法库在持续添加中,欢迎关注。 @@ -19,10 +19,30 @@ | 模型 | 简介 | 论文 | | :------------------: | :--------------------: | :---------: | -| share-bottom | share-bottom | [Multitask learning](http://reports-archive.adm.cs.cmu.edu/anon/1997/CMU-CS-97-203.pdf)(1998) | +| Share-bottom | share-bottom | [Multitask learning](http://reports-archive.adm.cs.cmu.edu/anon/1997/CMU-CS-97-203.pdf)(1998) | | ESMM | Entire Space Multi-Task Model | [Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate](https://arxiv.org/abs/1804.07931)(2018) | | MMoE | Multi-gate Mixture-of-Experts | [Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts](https://dl.acm.org/doi/abs/10.1145/3219819.3220007)(2018) | +下面是每个模型的简介(注:图片引用自链接中的论文) + + +[share-bottom](http://reports-archive.adm.cs.cmu.edu/anon/1997/CMU-CS-97-203.pdf): +

+ +

+ + +[esmm](https://arxiv.org/abs/1804.07931): +

+ +

+ + +[mmoe](https://dl.acm.org/doi/abs/10.1145/3219819.3220007): +

+ +

+ ## 使用教程 ### 训练 ```shell