multitask learning 相关论文资源

本文汇总了多任务学习领域的多项研究工作,包括理论探讨、实际应用案例及开源资源。覆盖了从多任务学习的基本概念到高级技术如深度视觉语义嵌入、跨任务网络等,并涉及面部对齐、视频缩略图选择等多个应用场景。

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Multitask Learning / Domain Adaptation

multi-task learning

Learning and Transferring Multi-task Deep Representation for Face Alignment

Multi-task learning of facial landmarks and expression

Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection

Learning Multiple Tasks with Deep Relationship Networks

Learning deep representation of multityped objects and tasks

Cross-stitch Networks for Multi-task Learning

Multi-Task Learning in Tensorflow (Part 1)

Deep Multi-Task Learning with Shared Memory

Learning to Push by Grasping: Using multiple tasks for effective learning

Identifying beneficial task relations for multi-task learning in deep neural networks

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

One Model To Learn Them All

MultiModel: Multi-Task Machine Learning Across Domains

https://research.googleblog.com/2017/06/multimodel-multi-task-machine-learning.html

An Overview of Multi-Task Learning in Deep Neural Networks

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

End-to-End Multi-Task Learning with Attention

Cross-connected Networks for Multi-task Learning of Detection and Segmentation

https://arxiv.org/abs/1805.05569

Auxiliary Tasks in Multi-task Learning

https://arxiv.org/abs/1805.06334

转载于:https://www.cnblogs.com/yh-blog/p/10648695.html

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