Row 95535
Content Data
This page contains data entry 95535 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Basically, they optimise the autoencoder by using a 2D discrete wavelet transform, obtain same performance for 6x less parameters.
Promising approach… or no?
https://www.aimodels.fyi/papers/arxiv/litevae-lightweight-efficient-variational-autoencoders-latent-diffusion
| Field | Value |
|---|---|
| text | Basically, they optimise the autoencoder by using a 2D discrete wavelet transform, obtain same performance for 6x less parameters. Promising approach… or no? https://www.aimodels.fyi/papers/arxiv/litevae-lightweight-efficient-variational-autoencoders-latent-diffusion |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-25 |
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Raw Record
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"text": "Basically, they optimise the autoencoder by using a 2D discrete wavelet transform, obtain same performance for 6x less parameters. \n\nPromising approach… or no? \n\nhttps://www.aimodels.fyi/papers/arxiv/litevae-lightweight-efficient-variational-autoencoders-latent-diffusion",
"label": "r/machinelearning",
"dataType": "comment",
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"datetime": "2024-05-25",
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Entry Information
- Entry ID: 95535
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000