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![image](https://github.com/VAN-QIAN/CIKM23-HIEST/assets/70182682/44ca266f-0741-4d61-ab74-2ac158c38f19)
I rented a container that can run according to your environment, and this is the result. How do…
Hhhie updated
8 months ago
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Great work on this study and it may provide a lot of example for the later on researches. My question is that how do you pretrain the slide encoder (by the longnet), from the repository it seems there…
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How would one generate positional embeddings give a non-square number of patches?
Right now this cannot be done since a shape mismatch would occur when copying the embeddings
https://github.com/…
dvd42 updated
2 months ago
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Hi,Dr. @MingjunZhong
Thanks for sharing the code. This time I am trying to reproduce result of REDD based seq2point. But the results I get for REDD are quite different from your reported results. Co…
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I see my R2 for testing data to be 0.215. Should i still rely on the model? Also, what are the ways I can improve the accuracy of the model?
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MAE of bigdl.optim.optimizer is a validation method, and in zoo.pipeline.api.keras.objectives, mae = MAE = MeanAbsoluteError, then MAE is a criterion.
There are a lot of places we do
```
from zoo…
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您好,我想请教一下,预训练阶段的loss一般会收敛到多少?我现在在自己的数据上跑预mae-b的预训练,发现loss基本在0.2左右就不再下降了。然后把重建的结果绘制在原图上,发现都比较模糊。
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Extract useful features from the original dataset, e.g. total word count per storybook, etc.
With each new feature, run the model training (#3) again, and see how it affects the prediction score.
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I'm using the SpectralGPT+ pre-trained model with the provided mae_vit_base_patch8_128 network architecture. While attempting to load pre-trained weights, I've encountered a mismatch between the layer…
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I ran the code according to the guide in the README without modifying the code, but the results I get are a bit different from the paper, is there any possible reason for this?
My log here:
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N…