Self-Training Methods
self-mem + new data
Introduced by Ta in Self-training from Self-memory in Data-to-text GenerationThe training contains two steps. The first step is to train data for creating the T2D and D2T models. Then, in the second step, use these models to infer self-memory for self-training the D2T model. Then, the training takes self-memory and new data for self-training the D2T model but not the T2D model.
Source: Self-training from Self-memory in Data-to-text GenerationPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Continual Learning | 1 | 33.33% |
| Data-to-Text Generation | 1 | 33.33% |
| Text Generation | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
