Name
Abstract | ||
|---|---|---|
We introduce Differentiable Reasoning (DR), a novel semi-supervised learning technique which uses relational background knowledge to benefit from unlabeled data. We apply it to the Semantic Image Interpretation (SII) task and show that background knowledge provides significant improvement. We find that there is a strong but interesting imbalance between the contributions of updates from Modus Ponens (MP) and its logical equivalent Modus Tollens (MT) to the learning process, suggesting that our approach is very sensitive to a phenomenon called the Raven Paradox [10]. We propose a solution to overcome this situation. |
Year | Venue | Field |
|---|---|---|
2019 | JOURNAL OF APPLIED LOGICS-IFCOLOG JOURNAL OF LOGICS AND THEIR APPLICATIONS | Semi-supervised learning,Computer science,Differentiable function,Artificial intelligence |
DocType | Volume | Issue |
Journal | 6 | SP4 |
ISSN | Citations | PageRank |
2055-3706 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emile van Krieken | 1 | 0 | 0.34 |
| Erman Acar | 2 | 4 | 4.57 |
| Frank van Harmelen | 3 | 4793 | 446.86 |