Deep Tabular Learning
TABBIE
Introduced by Iida et al. in TABBIE: Pretrained Representations of Tabular DataTABBIE is a pretraining objective (corrupt cell detection) that learns exclusively from tabular data. Unlike other approaches, TABBIE provides embeddings of all table substructures (cells, rows, and columns). TABBIE can be seen as a table embedding model trained to detect corrupted cells, inspired by the ELECTRA objective function.
Source: TABBIE: Pretrained Representations of Tabular Data
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Cell Detection | 1 | 33.33% |
| Column Type Annotation | 1 | 33.33% |
| Table annotation | 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 |
