Generative Models
Regularized Autoencoders
Introduced by Ghosh et al. in From Variational to Deterministic AutoencodersThis 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 Autoencoders
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| In-Context Learning | 1 | 3.57% |
| knowledge editing | 1 | 3.57% |
| Language Modelling | 1 | 3.57% |
| Model Editing | 1 | 3.57% |
| Multi-hop Question Answering | 1 | 3.57% |
| Question Answering | 1 | 3.57% |
| Retrieval | 1 | 3.57% |
| Medical Diagnosis | 1 | 3.57% |
| Denoising | 1 | 3.57% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
