Google在2018年“Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts”文章提出Multi-Mixture-of-Experts(MMoE)模型,是对Geoffrey Hinton 提出的Mixture-of-Experts(MoE、One-gate MoE)的一种改进,而它们都是一种特殊的Hard Parameter Sharing模型。这三种模型结构如Fig13,其中(a...
多任务学习(Multitask Learning)是一种推导迁移学习方法,主任务(main tasks)使用相关任务(related tasks)的训练信号(training signal)所拥有的领域相关信息(domain-specific information),做为一直推导偏差(inductive bias)来提升主任务(main tasks)泛化效果(generalization performance)的一种机器学习方法。多任务学习涉及多...
多任务学习(Multitask Learning)是一种推导迁移学习方法,主任务(main tasks)使用相关任务(related tasks)的训练信号(training signal)所拥有的领域相关信息(domain-specific information),做为一直推导偏差(inductive bias)来提升主任务(main tasks)泛化效果(generalization performance)的一种机器学习方法。多任务学习涉及多...
[2] Caruana. R. Multitask Learning: A Knowledge based Source of Inductive Bias. Proceedings of the Tenth International Conference on Machine Learning. 1993. [3] Baxter, J. (1997) A Bayesian / Information Theoretic Model of Learning to Learn via Multiple Task Sampling. Machine Learning. 28, ...
Single-task learning is the process of learning to predict a single outcome (binary, multi-class, or continuous) from a labeled data set. By contrast, multi-task learning is the process of jointly…
背景:只专注于单个模型可能会忽略一些相关任务中可能提升目标任务的潜在信息,通过进行一定程度的共享不同任务之间的参数,可能会使原任务泛化更好。广义的讲,只要loss有多个就算MTL,一些别名(joint learning,learning to learn,learning with auxiliary task)
多任务学习(Multi-task learning)是和单任务学习(single-task learning)相对的一种机器学习方法。在机器学习领域,标准的算法理论是一次学习一个任务,也就是系统的输出为实数的情况。复杂的学习问题先被分解成理论上独立的子问题,然后分别对每个子问题进行学习,最后通过对子问题学习结果的组合建立复杂问题的数学模型。多...
基于神经网络的多任务学习,尤其是基于深度神经网络的多任务学习(DL based Multitask Learning),适用于解决很多NLP领域的问题,比如把词性标注、句子句法成分划分、命名实体识别、语义角色标注等任务,都可以采用MTL任务来解决。 其他MTL的应用还有,网页图片和语音搜索[Zhou et. al. KDD’11],疾病预测[Zhang et. al. ...
Methods, systems, and apparatus, including computer programs encoded on computer storage media for training a machine learning model to perform multiple machine learning tasks from multiple machine learning domains. One system includes a machine learning model that includes multiple input modality neural ...
【多任务学习】An Overview of Multi-Task Learning in Deep Neural Networks,译自:http://sebastianruder.com/multi-task/1.前言在机器学习中,我们通常关心优化某一特定指标,不管这个指标是一个标准值,还是企业KPI。为了达到这个目标,我们训练单一模型或多个模型集合