TopoNets: High performing vision and language models with brain-like topography

Re:TopoNets: High performing vision and language models with... by dang on Friday January 31, 2025 @12:01AM (#42884830)

Submitted title was "Inducing brain-like structure in GPT's weights makes them parameter efficient". We've reverted it now in keeping with the site guidelines (https://news.ycombinator.com/newsguidelines.html).

Since the submitter appears to be one of the authors, maybe they can explain the connection between the two titles? (Or maybe they already have! I haven't read the entire thread)

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Re:TopoNets: High performing vision and language models with... by mayukhdeb on Friday January 31, 2025 @10:21AM (#42888541)

Thanks for clarifying your reason for renaming the title.

The explanation for the original title is this plot from our publication in ICLR 2025: https://toponets.github.io/webpage_assets/FigureEfficiencyNa...

You can find more details on the website: https://toponets.github.io (see section: "Toponets deliver sparse, parameter-efficient language models")

We find out that inducing topographic structure in the weights of GPTs made them compressible (during inference) without losing out on performance.

I encourage you to revert the name if you find it justified after looking into the evidence I've shown here. Thanks.

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