currentscurrents t1_j5b6jf2 wrote on January 21, 2023 at 6:54 PM

Interesting! I think it's good to remember that the important part of neural networks is the optimization-based learning process - you can run optimization on things other than neural networks. Like how plenoxels got 100x speedup over NeRF by running optimization on a structure more naturally suited to 3D voxel data.

I do wonder how scalable TMs are to less toy tasks though. MINST is pretty easy in 2023, and I think you can solve the BBC Sports dataset just by looking for keywords.

olegranmo OP t1_j5b92y1 wrote on January 21, 2023 at 7:11 PM

Hi! Here is a paper exploring real-life recommendation systems data, comparing deep learning and Tsetlin machines: https://arxiv.org/abs/2212.10136