Name
Abstract | ||
|---|---|---|
Recently, deep models have had considerable success in several tasks, especially with low-level representations. However, effective learning from sparse noisy samples is a major challenge in most deep models, especially in domains with structured representations. Inspired by the proven success of human guided machine learning, we propose Knowledge-augmented Column Networks, a relational deep learning framework that leverages human advice/knowledge to learn better models in presence of sparsity and systematic noise. |
Year | Venue | DocType |
|---|---|---|
2019 | CoRR | Journal |
Volume | Citations | PageRank |
abs/1906.01432 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mayukh Das | 1 | 9 | 5.03 |
| Devendra Singh Dhami | 2 | 0 | 4.06 |
| Yucheng Yang | 3 | 0 | 1.69 |
| Kunapuli, Gautam | 4 | 136 | 12.32 |
| Sriraam Natarajan | 5 | 482 | 49.32 |