arXiv · 1906.01432
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice
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.
Explore related subjects
Keep this discovery
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan. 2019-05-31. Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. https://arxiv.org/abs/1906.01432
Cite the original work for its findings. Save a collection to share your selection of sources.