This method introduces several regularization schemes that can be applied to an Autoencoder. To make the model generative ex-post density estimation is proposed and consists in fitting a Mixture of Gaussian distribution on the train data embeddings after the model is trained.
Source: From Variational to Deterministic AutoencodersPaper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Decoder | 3 | 9.68% |
In-Context Learning | 1 | 3.23% |
knowledge editing | 1 | 3.23% |
Language Modelling | 1 | 3.23% |
Model Editing | 1 | 3.23% |
Multi-hop Question Answering | 1 | 3.23% |
Question Answering | 1 | 3.23% |
Retrieval | 1 | 3.23% |
Medical Diagnosis | 1 | 3.23% |
Component | Type |
|
---|---|---|
🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |