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proceedings.neurips.cc | ||
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seanzhang.me
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| | | | | Imagine that you have 2 curves in a 2-D space, how would you measure the similarity of these 2 curves? | |
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sander.ai
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| | | | | More thoughts on diffusion guidance, with a focus on its geometry in the input space. | |
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jaketae.github.io
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| | | | | In this short post, we will take a look at variational lower bound, also referred to as the evidence lower bound or ELBO for short. While I have referenced ELBO in a previous blog post on VAEs, the proofs and formulations presented in the post seems somewhat overly convoluted in retrospect. One might consider this a gentler, more refined recap on the topic. For the remainder of this post, I will use the terms "variational lower bound" and "ELBO" interchangeably to refer to the same concept. I was heavily inspired by Hugo Larochelle's excellent lecture on deep belief networks. | |
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blog.paperspace.com
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| | | Follow this tutorial to learn what attention in deep learning is, and why attention is so important in image classification tasks. We then follow up with a demo on implementing attention from scratch with VGG. | ||
