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I can’t find this paper，am I search wrong word？
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Hi,
Thanks for your work.
Recently I am reading the paper "Prototypical Networks". I found your idea is quite similar to that one. Could you help explain a little bit about the main difference b…
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I have found some papers on classification with gcn and knowledge graph. But most papers focus on zero-shot problems. If this method effective on these one-shot or traditional cases?
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I notice that you set the n_train_class to 15, and i'm wondering is this a training trick?
And i want to know which conference is this paper accepted?
Hope for your reply, thanks.
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Our current **speaker encoder** is trained with only LibriTTS (100, 360) datasets. However, we can improve its performance using other available datasets (VoxCeleb, LibriTTS-500, Common Voice etc.). I…
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I am unable to reproduce results for the [Consistent Networks paper](https://arxiv.org/abs/1903.02164). I think I may be misunderstanding something. Which algorithm should achieve the claimed 70.11% +…
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When I use your prototypical network to perform miniImageNet classification, the accuracy obtained is higher than that reported in the paper? Specifically, I use
> python train.py --gpu 0 --save_p…
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Hi Matt,
at first, thanks for your work! I wonder what the status of this project is. Are there further developments planned? I tried to integrate this in a project of mine and did modifications to…
minad updated
4 years ago
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Hi!
My name is Shun and I have a project where I want to benchmark my developed models/framework against a set of popular images data sets (omniglot, miniImageNet, etc) with a set of metrics (N-way…
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Thanks for your sharing. Just want to ask how you determine which images will be included in the csv files.