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Do you mind share your code about miniimagenet dataloader and train? It will be appreciated.
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Hello, great paper! I have a question about propagation from neighbours, is it similar to Graph attention network?
looking forwork to your reply~
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I paste here the current bibliography. It looks like there is a problem in retrieving information. Perhaps the service has some band limitation?
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[plumID:19.070]
[plumID:19.067]
[plumID:1…
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# Context
`--port 0`, which makes iperf bind to an unused, ephemeral port, has been deemed to be an unacceptable use case, a bug (#884). Afterwards, code has been added to defend against it (#885).
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if prototypical networks when combined with maml give a higher accuracy, does this mean that other metric learning based methods, cosine similarity Vinyals et al. (2016), CNN-based relation module Sun…
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Hi, I really appreciate your great work ! But i have some doubts about details.
1. for miniimagenet ,in torchmeta.datasets.helpers. I find you use resize(84), why not using data augument such as r…
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Dejo los modelos y tecnicas que encontre y me parecieron copados ordenados segun cuan performante hayan sido en diferentes competencias de clasificacion.
EnsembleNet https://arxiv.org/abs/1901.05798 …
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Hi guys! I am at this point and I do not just understand it, I already have the trained model. For the test, what I understand that should be done is to calculate the embedding of my sample and see wh…
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@okason97 En el repositorio [prototypical-networks-tf](https://github.com/ulises-jeremias/prototypical-networks-tf) ya está subido el código con un README.md en el que se explica la distribución de di…