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Hi,
As I don't have any labeled dataset, I'm wondering what is the best way to adapt NLI and Quora to my domain application (Legal Law) :
- only fine-tuning Bert on my specific corpus and then us…
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https://github.com/kanosawa/anime-face-faster-rcnn-da.pytorch
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# --------------------------------------------------------
# Pytorch multi-GPU Faster R-CNN
# Licensed under The MIT License [se…
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I got a couple of emails so asking, so, here it is:
In our work "Unsupervised domain adaptation in brain lesion segmentation with adversarial networks" (https://arxiv.org/abs/1612.08894, accepted i…
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https://arxiv.org/pdf/1705.10667.pdf
Adversarial learning has been successfully embedded into deep networks to learn transferable features for domain adaptation, which reduce distribution discrepan…
leo-p updated
7 years ago
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https://witheringmaple.github.io/2020/09/21/Unsupervised-Domain-Adaptation-on-Reading-Comprehension/
It's a private blog...
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The domain adaptation classifier in the MUNIT/SPADE codebases (in "utils.py") doesn't work with arbitrary latent vectors.
For example, changing the number of downsampling layers breaks the code
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Find a new paper "Graph domain adaptation: A generative view" from TKDD-24.
Maybe it can be added on your list.
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作者你好,请问论文题目所说的UniDa是指在已知两域类别情况下分别做OPDA,CDA,ODA,PDA的实验来证明通用性吗?而不是真正在目标域类别信息未知的前提下判断是否为公共类还是私有类。
![image](https://github.com/YanzuoLu/MLNet/assets/60725974/68d6c009-2b7e-461d-8c8b-ec668ff5fa33)
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Just as a quick link list, here is a list of ICLR Submissions using the keyword "Domain Adaptation". I guess waiting for the reviews makes sense before including them in the reading list.
# Unsup…