From 618c89813529bf7360b77d285d0d152c764b1b6b Mon Sep 17 00:00:00 2001 From: jindongwang Date: Thu, 21 Dec 2017 09:20:31 +0800 Subject: [PATCH] =?UTF-8?q?add:=20=E5=9F=BA=E4=BA=8EPytorch=E7=9A=84?= =?UTF-8?q?=E8=BF=81=E7=A7=BB=E5=AD=A6=E4=B9=A0=E5=9B=BE=E5=83=8F=E5=88=86?= =?UTF-8?q?=E7=B1=BB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index ced5b072..c4327dd1 100644 --- a/README.md +++ b/README.md @@ -35,10 +35,9 @@ _ _ _ - 201711 运用贝叶斯网络建模label和domain的依赖关系：[GENERALIZING ACROSS DOMAINS VIA CROSS-GRADIENT TRAINING](https://openreview.net/pdf?id=r1Dx7fbCW) - 20171126 李飞飞小组发在NIPS 2017的文章：[Label Efficient Learning of Transferable Representations acrosss Domains and Tasks](http://papers.nips.cc/paper/6621-label-efficient-learning-of-transferable-representations-acrosss-domains-and-tasks)。针对不同的domain、不同的feature、不同的label space，统一学习一个深度网络进行表征。 - 201711 ICCV 2017发表的文章：[Open set domain adaptation](http://openaccess.thecvf.com/content_iccv_2017/html/Busto_Open_Set_Domain_ICCV_2017_paper.html)。当source和target只共享某一些类别时，怎么处理？这个文章获得了ICCV 2017的Marr Prize Honorable Mention，值得好好研究。[我的解读](https://zhuanlan.zhihu.com/p/31230331) -  -- 201711 一个很好的深度学习+迁移学习的实践教程，有代码有数据，可以直接上手：[基于深度学习和迁移学习的识花实践](https://cosx.org/2017/10/transfer-learning/) -[更多...]((https://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md)) + +[更多...](https://github.com/jindongwang/transferlearning/tree/master/doc/awesome_paper.md) - - - @@ -54,6 +53,9 @@ _ _ _ 什么是[负迁移(negative transfer)](https://www.zhihu.com/question/66492194/answer/242870418)？ [迁移学习中的领域自适应方法](http://jd92.wang/assets/files/l12_da.pdf) + +动手教程：很好的深度学习+迁移学习的实践教程，有代码有数据，可以直接上手：[基于深度学习和迁移学习的识花实践(Tensorflow)](https://cosx.org/2017/10/transfer-learning/) | [基于Pytorch的图像分类](https://github.com/miguelgfierro/sciblog_support/blob/master/A_Gentle_Introduction_to_Transfer_Learning/Intro_Transfer_Learning.ipynb) + - - - ### 2.迁移学习的综述文章