Exploring diffusion time-steps for unsupervised representation learning
Representation learning is all about discovering the hidden modular attributes that generate the data faithfully. We explore the potential of Denoising Diffusion Probabilistic Model (DM) in unsupervised learning of the modular attributes. We build a theoretical framework that connects the diffusion...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9215 https://ink.library.smu.edu.sg/context/sis_research/article/10221/viewcontent/3386_exploring_diffusion_time_steps__1_.pdf |
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| Institution: | Singapore Management University |
| Language: | English |