TABBIE
2000년 도입 · 논문 1편에서 사용
TABBIE 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.
출처: TABBIE: Pretrained Representations of Tabular Data
소개 논문: TABBIE: Pretrained Representations of Tabular Data
Deep Tabular Learning · General