Are there fundamental repeating patterns in ML techniques across modalities (text, image, audio) that let us group them? [R]
I’ve been noticing that a lot of techniques seem to repeat across modalities with just a different name.
For example, tokenisation, masking (MLM / MAE / audio masking), diffusion, next-token / next-frame prediction, etc.
Is there an existing taxonomy or mental model that groups ML techniques by their underlying pattern rather than by modality (NLP / vision / audio)?
This will help me to group the research papers and then make reference to work already done in that domain
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