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add escm2 model
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README_CN.md

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@@ -178,6 +178,7 @@ python -u tools/static_trainer.py -m models/rank/dnn/config.yaml # 静态图训
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| 多任务 | [ShareBottom](models/multitask/share_bottom/)([文档](https://paddlerec.readthedocs.io/en/latest/models/multitask/share_bottom.html)) | [Python CPU/GPU](https://aistudio.baidu.com/aistudio/projectdetail/3238943) ||| >=2.1.0 | [1998][Multitask learning](http://reports-archive.adm.cs.cmu.edu/anon/1997/CMU-CS-97-203.pdf) |
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| 多任务 | [Maml](models/multitask/maml/)([文档](https://paddlerec.readthedocs.io/en/latest/models/multitask/maml.html)) | [Python CPU/GPU](https://aistudio.baidu.com/aistudio/projectdetail/3238412) | x | x | >=2.1.0 | [PMLR 2017][Model-agnostic meta-learning for fast adaptation of deep networks](https://arxiv.org/pdf/1703.03400.pdf) |
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| 多任务 | [DSelect_K](models/multitask/dselect_k/)([文档](https://paddlerec.readthedocs.io/en/latest/models/multitask/dselect_k.html)) | - | x | x | >=2.1.0 | [NeurIPS 2021][DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning](https://arxiv.org/pdf/2106.03760v3.pdf) |
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| 多任务 | [ESCM2](models/multitask/escm2/) | - | x | x | >=2.1.0 | [SIGIR 2022][ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation](https://arxiv.org/pdf/2204.05125.pdf) |
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| 重排序 | [Listwise](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/rerank/listwise/) | - || x | [1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5) | [2019][Sequential Evaluation and Generation Framework for Combinatorial Recommender System](https://arxiv.org/pdf/1902.00245.pdf) |
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README_EN.md

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| Multi-Task | [ShareBottom](models/multitask/share_bottom/)<br>([doc](https://paddlerec.readthedocs.io/en/latest/models/multitask/share_bottom.html)) | [Python CPU/GPU](https://aistudio.baidu.com/aistudio/projectdetail/3238943) ||| >=2.1.0 | [1998][Multitask learning](http://reports-archive.adm.cs.cmu.edu/anon/1997/CMU-CS-97-203.pdf) |
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| Multi-Task | [Maml](models/multitask/maml/)<br>([doc](https://paddlerec.readthedocs.io/en/latest/models/multitask/maml.html)) | [Python CPU/GPU](https://aistudio.baidu.com/aistudio/projectdetail/3238412) | x | x | >=2.1.0 | [PMLR 2017][Model-agnostic meta-learning for fast adaptation of deep networks](https://arxiv.org/pdf/1703.03400.pdf) |
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| Multi-Task | [DSelect_K](models/multitask/dselect_k/)<br>([doc](https://paddlerec.readthedocs.io/en/latest/models/multitask/dselect_k.html)) | - | x | x | >=2.1.0 | [NeurIPS 2021][DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning](https://arxiv.org/pdf/2106.03760v3.pdf) |
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| Multi-Task | [ESCM2](models/multitask/escm2/) | - | x | x | >=2.1.0 | [SIGIR 2022][ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation](https://arxiv.org/pdf/2204.05125.pdf) |
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| Re-Rank | [Listwise](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/rerank/listwise/) | - || x | [1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5) | [2019][Sequential Evaluation and Generation Framework for Combinatorial Recommender System](https://arxiv.org/pdf/1902.00245.pdf) |
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<h2 align="center">Community</h2>

doc/imgs/escm2_ipw.png

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