CP-N3-RP
CP with N3 Regularizer and Relation Prediction
Papers with Code 아카이브
Relational Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 1
The goal of Relational Reasoning is to figure out the relationships among different entities, such as image pixels, words or sentences, human skeletons or interactive moving agents.
기법
관련 논문에서 소개한 기법입니다. 이 태스크에서의 평가 여부는 평가 결과에서 확인하세요.
ComplEx-N3-RP
ComplEx model trained with a nuclear norm regularizer; A relation prediction objective is added on top of the commonly used 1vsAll objective.
RESCAL-RP
RESCAL model trained with a relation prediction objective on top of the 1vsAll loss
TuckER-RP
TuckER model trained with a relation prediction objective on top of the 1vsAll loss
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.