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hcl's Issues
about opt
I noticed that you use the SGD in the normal way. But in your paper ,the highest accuracy is using RSGD .Do you have the using RSDG version code?
Encoder backbone used for the paper & published checkpoints
Hi, quick question:
What's the encoder backbone used for the paper "Hyperbolic Contrastive Learning for Visual Representations beyond Objects"? Is it the default architecture resnet50
? I have looked but I can't find where it's specified.
Some details about code implementation
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The released code set curvature of the poincare ball as 0.05 (positive), which may be contrary to the definition "A hyperbolic space is a complete, connected Riemannian manifold with constant negative sectional curvature".
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In the section of "Main Ablation Studies-Optimizer", what does
$\epsilon$ mean? -
Are there any special operations (e.g., gradient clip such as torch.nn.utils.clip_grad_norm_) when optimizing hyperbolic embedding? I noticed that you use the SGD in the normal way.
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The code of hypnn is not released.
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