multitask learning 相關論文資源

Multitask Learning / Domain Adaptation

• homepage: http://www.cs.cornell.edu/~kilian/research/multitasklearning/multitasklearning.html

multi-task learning

• discussion: https://github.com/memect/hao/issues/93

Learning and Transferring Multi-task Deep Representation for Face Alignment

• arxiv: http://arxiv.org/abs/1408.3967

Multi-task learning of facial landmarks and expression

• paper: http://www.uoguelph.ca/~gwtaylor/publications/gwtaylor_crv2014.pdf

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

• intro: CVPR 2015
• paper: http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Multi-Task_Deep_Visual-Semantic_2015_CVPR_paper.pdf

Learning Multiple Tasks with Deep Relationship Networks

• arxiv: https://arxiv.org/abs/1506.02117

Learning deep representation of multityped objects and tasks

• arxiv: http://arxiv.org/abs/1603.01359

Cross-stitch Networks for Multi-task Learning

• arxiv: http://arxiv.org/abs/1604.03539

Multi-Task Learning in Tensorflow (Part 1)

• blog: https://jg8610.github.io/Multi-Task/

Deep Multi-Task Learning with Shared Memory

• intro: EMNLP 2016
• arxiv: http://arxiv.org/abs/1609.07222

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

• arxiv: http://arxiv.org/abs/1609.09025

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

• intro: EACL 2017
• arxiv: https://arxiv.org/abs/1702.08303
• github: https://github.com/jbingel/eacl2017_mtl

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

• intro: University of Cambridge
• arxiv: https://arxiv.org/abs/1705.07115

One Model To Learn Them All

• intro: Google Brain & University of Toronto
• arxiv: https://arxiv.org/abs/1706.05137
• github: https://github.com/tensorflow/tensor2tensor

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

• intro: Aylien Ltd
• arxiv: https://arxiv.org/abs/1706.05098

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

• arxiv: https://arxiv.org/abs/1711.05769
• github: https://github.com/arunmallya/packnet

End-to-End Multi-Task Learning with Attention

• intro: Imperial College London
• arxiv: https://arxiv.org/abs/1803.10704

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