Multitask Learning / Domain Adaptation
- homepage:
multi-task learning
- discussion:
Learning and Transferring Multi-task Deep Representation for Face Alignment
- arxiv:
Multi-task learning of facial landmarks and expression
- paper:
Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection
- intro: CVPR 2015
- paper:
Learning Multiple Tasks with Deep Relationship Networks
- arxiv:
Learning deep representation of multityped objects and tasks
- arxiv:
Cross-stitch Networks for Multi-task Learning
- arxiv:
Multi-Task Learning in Tensorflow (Part 1)
- blog:
Deep Multi-Task Learning with Shared Memory
- intro: EMNLP 2016
- arxiv:
Learning to Push by Grasping: Using multiple tasks for effective learning
- arxiv:
Identifying beneficial task relations for multi-task learning in deep neural networks
- intro: EACL 2017
- arxiv:
- github:
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
- intro: University of Cambridge
- arxiv:
One Model To Learn Them All
- intro: Google Brain & University of Toronto
- arxiv:
- github:
MultiModel: Multi-Task Machine Learning Across Domains
An Overview of Multi-Task Learning in Deep Neural Networks
- intro: Aylien Ltd
- arxiv:
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
- arxiv:
- github:
End-to-End Multi-Task Learning with Attention
- intro: Imperial College London
- arxiv:
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Auxiliary Tasks in Multi-task Learning