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Masked diffusion is a discrete analog of continuous diffusion. Continuous diffusion gradually adds Gaussian noise, then learns to reverse that process to recover data. Masked diffusion instead progressively replaces tokens with a mask token, then learns to fill them back in.

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Alec Helbling

11,723 subscribers

24,757 Aufrufe • vor 2 Monaten •via X (Twitter)

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5 Kommentare

Profilbild von aidan ewart
aidan ewartvor 2 Monaten

why is noising by replacing with [MASK] better than noising by replacing with a randomly sampled token (which seems more analogous to the noising done in normal diffusions)?

Profilbild von Alec Helbling
Alec Helblingvor 2 Monaten

Link to code for visualizations.

Profilbild von Sohir Maskey
Sohir Maskeyvor 2 Monaten

Actually uniform diffusion is the discrete analog to continuous diffusion with Gaussian prior see eg

Profilbild von dennis
dennisvor 2 Monaten

I wonder how efficient mixing/ diverse discrete would be compared to continuous?

Profilbild von andy
andyvor 2 Monaten

I never thought words could be corrected by images in this way!

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