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@yuhuayc For domain adaptation of detectors from the source domain to the target domain, we always train from the ImageNet pre-trained model. However, in practical application, the pre-trained model o…
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## 0. Paper
- paper: [[link](https://aclanthology.org/2022.tacl-1.53/)]
- TACL2022
## 1. What is it?
They evaluate the temporal effects for downstream tasks.
## 2. What is amazing compared …
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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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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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* [ ] Training on Unity Urban + Suburban *Méli*
* [ ] Training on WD *Méli*
* [ ] Training on heavier flooded images (Unity)
* [ ] Conditioning on depth and segmentation *Méli*
* [ ] Create standa…
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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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In Table 1 the paper shows very high scores (more than 90%) in the digit classification tasks. So the question is that the testing set is merely the target-domain testing set or the combination of bot…
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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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## 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 Sir, greetings. Firstly, congratulations on the successful publication of your paper in NeurIPS. However, I have some minor questions regarding its content that I would like to consult with you. …