Bootstrapping NLU Models with Multi-task Learning - 代码天地

Bootstrapping NLU Models with Multi-task Learning

其他 2020-03-26 17:31:33 阅读次数: 0

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转载自blog.csdn.net/weixin_37947156/article/details/103576185

Bootstrapping NLU Models with Multi-task Learning

A Summary of Multi-task Learning

Collection | Multi-task learning & Transfer learning

多任务学习 Multi-task learning

An Overview of multi-task learning阅读笔记

Multi-Task Learning & Multiclass classification

多任务学习Multi-Task Learning

Thinking about Multi-Task Learning

论文阅读 | A Survey on Multi-Task Learning

多任务学习(Multi-Task Learning)

multi-task learning 不收敛

Multi-Task Learning - 优化方法篇

Recurrent Neural Network for Text Classification with Multi-Task Learning

论文笔记《HyperFace: A Deep Multi-task Learning Framework ...》

【ICCV 2019】Unsupervised Multi-Task Feature Learning on Point Clouds

论文精读 —— Gradient Surgery for Multi-Task Learning

论文笔记《Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts》

MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning

#Reading Paper# 【LLM】X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalitie

Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning

Multi-task Learning（多任务学习）和Curriculum Learning（课程学习）

Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning

[论文阅读] Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts（MMoE模型）

人脸关键点检测之Facial landmark detection using Multi-Task Learning

读论文，衣物检索：Multi-task curriculum transfer deep learning of clothing attributes

深度神经网络的多任务学习概览(An Overview of Multi-task Learning in Deep Neural Networks)

Multi-Task GANs for View-Specific Feature Learning in Gait Recognition论文翻译以及理解

A Modulation Module for Multi-task Learning with Applications in Image Retrieval论文笔记

深度神经网络多任务学习(Multi-Task Learning in Deep Neural Networks)

CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting

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