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类别 论文 发表 简介
多任务学习 Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts mmoe
多任务学习 Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations ACM RecSys2020 腾讯提出,对mmoe进行了改良
多任务学习 Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics CVPR2018 引入贝叶斯框架自动设置loss权重
多任务学习 NeurIPS-2018-multi-task-learning-as-multi-objective-optimization-Paper NeurIPS2018 还没看..
多任务学习 Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint ICDE2021, IEEE 37th International Conference on Data Engineering 多类目MoE模型在京东搜索精排中的应用
多任务学习 An Overview of Multi-Task Learning in Deep Neural Networks Arxiv 概览,感觉一般
多标签分类 Deep Learning with a Rethinking Structure for Multi-label Classification ACML2019,Asian Conference on Machine Learning CCF C 大概看看
计算机视觉 Squeeze-and-Excitation Networks CVPR2018, Conference on Computer Vision and Pattern Recognition CCF A,se block很实用

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