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作者您好，我在美团技术团队上面看到您做了这方面的工作《ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement》
请问您有计划将实验的细节公布出来吗？如果有的话预计多久可以公布呢
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**Describe the solution you'd like**
It would be nice to have an option for self-training. Self-training is related to active learning but gets labels for queries based on its predictions instead of …
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I did some debugging on the issue i'm currently facing in the adaptive code, i.e., that no change in translations is observed after training. I tried to look at a single model parameter before and aft…
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These days, 'Domain-Adversarial Training of Neural Networks' (https://arxiv.org/abs/1505.07818) is getting attention in Generative Adversarial Networks and domain adaptation learning.
It's already im…
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Dear author,
Thanks for your great work and implementation. I have a similar network architecture like the MI Minimization in Domain Adaptation in the paper. When I use the CLUB to minimize the mu…
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You had mentioned that the backbone network is ResNet-50 pretrained on Imagenet.
https://github.com/thuml/Universal-Domain-Adaptation/blob/5d7caa95af7e3675305c542253c4e372801897d2/net.py#L37
Bu…
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## 简介
Finetune for domain adaptation/multilingual NMT. 方法感觉很简单粗暴啊，以domain adaptation为例，传统的finetune需要为每一个in-domain单独训练一个模型，很麻烦。文章的思路是为每个in-domain在base model基础上增加一个小的module，这个module每个领域是独有的，且capacity可以…
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Dear All,
first of all, thanks for making this library available, some great work here! Together with my colleagues I have been working over the last year on `unsupervised Domain Adaptation (DA)…
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Hi, There maybe be some questions of the "visdac.py", can you check it plz.
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First of all, thank you very much for your contribution to this work, I have gained some methods and insprition from it. However, I still have a few questions.
**First, in the weight files you provid…