I'm trying to design a system to optimize over a variable-length set (like a sentence) of variable length vectors (like words). But unlike a sentence, the order of words does not matter . I'll have to make vector embeddings for my input vectors, so far is clear. And I'm familiar with RNN's power to make summaries of sentences and I'd like to make a summary of my set as well. The question is what tool is the best for this problem. Is there an alternative to RNN that can make a better summary of a variable-length set of embeddings? What is the best way to make a summary for my set?

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