1 min readfrom Machine Learning

Hopfield Memory in VLA [R]

I am currently doing a research internship (2 months) in VLA and I have come across the Hopfield network based on the paper Hopfield Networks is All You Need and seeing the potential advantages of using this as a memory module over the transformer architecture based HAMLET module, I have decided to implement this on top of a SmolVLA backbone to see how it works in comparison to the current memory modules which we have now. How is the feasibility of this idea and would this even work in VLAs? (I was previously working on Equivariant VLA based on equivariant CNN , but it was already published so I moved to this)

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