Open Ramay7 opened 5 years ago
I’m sorry! You may have sent the wrong email. That's not my article! Good luck!
发送自 Windows 10 版邮件应用
发件人: Yong-Nan Zhu 发送时间: 2019年3月3日 20:18 收件人: thuml/Xlearn 抄送: Subscribed 主题: [thuml/Xlearn] When will TCL (AAAI'19) be released? (#26)
Hi, I have read your paper "Transferable Curriculum for Weakly-Supervised Domain Adaptation", and inspired a lot. Meanwhile, I notice that you say source code will be available in this repository at the beginning of Section Experiments. I wanna to know when will the source code available ? I cannot wait to see the beauty of this algorithm in detail :) �Thanks ! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or mute the thread.
I’m sorry! You may have sent the wrong email. That's not my article! Good luck! 发送自 Windows 10 版邮件应用 发件人: Yong-Nan Zhu 发送时间: 2019年3月3日 20:18 收件人: thuml/Xlearn 抄送: Subscribed 主题: [thuml/Xlearn] When will TCL (AAAI'19) be released? (#26) Hi, I have read your paper "Transferable Curriculum for Weakly-Supervised Domain Adaptation", and inspired a lot. Meanwhile, I notice that you say source code will be available in this repository at the beginning of Section Experiments. I wanna to know when will the source code available ? I cannot wait to see the beauty of this algorithm in detail :) �Thanks ! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or mute the thread.
Hi, @apple151691 ,
I opened this issue in Xlearn
repository for the reason the description of this repository is Transfer Learning Library and I assumed this repo was supported and updated by all members of your team. Thanks for your quick replay whatever. And I will contact with authors directly next step. In addition, I am also grateful for your kind reminder to the authors if you are free and familiar with authors.
Best Regards, Ramay7
Hi,
I am the author of the TCL paper. The code will be available after further optimization and improvement. Thank you for your interest in this paper.
Best Regards
You can find the code here. https://github.com/thuml/TCL
Thanks a lot!
Hi,
I have read your paper "Transferable Curriculum for Weakly-Supervised Domain Adaptation", and inspired a lot. Meanwhile, I notice that you say source code will be available in this repository at the beginning of Section Experiments.
I wanna to know when will the source code available ? I cannot wait to see the beauty of this algorithm in detail :)
Thanks !