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Hi! Can you provide scientific articles that formed the basis of the domain adaptation learner method?
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Currently I'm trying to adapt the [tutorial code](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb) for LayoutLMv3 …
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## 🐛 Bug
Some augmentations from `domain_adaptation` (i.e. `HistogramMatching`, `FDA` and `PixelDistributionAdaptation`) crash when a list of numpy array is passed to `reference_images`.
## To …
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(ssdayolo) liuhaolin@ubuntu18:/sdb/liuhaolin/SSDA-YOLO$python -m torch.distributed.launch --nproc_per_node 2 ssda_yolov5_train.py --weights weights/yolov5l.pt --data yamls_sda/pascalvoc0712_clip…
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(AI_Scientist) root@intern-studio-50102651:~/AI-Scientist# python launch_scientist.py --model "gpt-4o-2024-05-13" --experiment nanoGPT --num-ideas 1
Using GPUs: [0]
Using OpenAI API with model gpt-4…
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Shouldn't there be non-linearity between the bottleneck layers in the classifier?
https://github.com/thuml/Universal-Domain-Adaptation/blob/5d7caa95af7e3675305c542253c4e372801897d2/net.py#L127
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In original implementation, domain adaptation transfer task has been done i.e., USPS to MNIST or MNIST to USPS. Could you include these experiments please?
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Thanks for your share!
When i study your code, I found that you used the true gt_boxes of target domain at the training stage. This is unsupervised domain adaptation, I think you can't get the groun…
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# どんなもの?
>従来までのクリック予測では,モデルを学習する際にオークションで落札し広告を表示したデータのみを利用している.しかし,実際にモデルが予測するのは落札したデータのみではなく,オークションが行われる全てのデータである.そのため,クリック予測のモデルを学習する上で選択バイアスの影響が問題となる. 本研究ではDomain Adaptation Neural Network (DANN)…
upura updated
5 years ago