Comment by vintermann
Comment by vintermann 4 days ago
This is what I find most impressive, that it's a natural hierarchial method which seems so general, yet is actually quite competitive. I feel like the machine learning community has been looking for that for a long time. Non-generative uses (like hierarchial embeddings, maybe? Making Dewey's decimal like embeddings for anything!) are even more exciting.
Exactly! The paragraph on Efficient Data Compression Capability in the original paper also highlights:
> To our knowledge, Taiji-DDN is the first generative model capable of directly transforming data into a semantically meaningful binary string which represents a leaf node on a balanced binary tree.
This property excites me just as much.