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CRFs are still state of the art on many domains, and in some places are only just now being beaten by (far more expensive) transformer models. What are you smok
by Der_Einzige 6y ago
CRFs are still state of the art on many domains, and in some places are only just now being beaten by (far more expensive) transformer models. What are you smoking with this claim that CRFs are not useful to read about? CRFs are used a lot within industry and are very effective and interpretable...
- JHonaker 6y agoYea, CRFs and graphical models in general are extremely versatile! It’s a shame more people don’t think about them. The major problem with them is computation, but there are approximate methods like belief propagation, expectation propagation, and even sequential Monte Carlo that you can leverage depending on your inference goals.