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This will require returning all loss values in addition to MSE in each loss function
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Dear Developers,
I wonder if you have any plan to implement active learning algorithm for fine-tuning?
Thank you so much.
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It is possible to implement an active learning framework.
This may not have relevance for the experimental part.
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Hello,
In the beginning of fitting using "pacemaker" a "target_potential.yaml" file is generated which is an unparametrized ACE potential, but has the same hyperparameters as the finally fitted pot…
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Does your active learning with single/ multi annotators support semantic segmentation?
Right now I think it only supports classification techniques
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The active learning method that `dedupe` implements to learn a minimal set of predicates to block records can be very useful, particularly when the user has little prior knowledge on an appropriate se…
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Good day,
Thank you for this great model!
Currently, I am attempting to reproduce your code, and try to train the model on the extended dataset, create a new one using your techniques.
The ques…
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Hi Shuai Guo,
I came here from your active learning post on Towardsdatascience. Super cool post and thanks for sharing!
You showed an example of active learning for univariable function (F(x)) but I…
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https://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai15albl.pdf
Pool-based active learning is an important technique that helps reduce labeling efforts within a pool of unlabeled instances. Currently, …
leo-p updated
7 years ago