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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/)([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 |[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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| 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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