The 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 GenerationPaper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Continual Learning | 1 | 33.33% |
Data-to-Text Generation | 1 | 33.33% |
Text Generation | 1 | 33.33% |
Component | Type |
|
---|---|---|
🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |