Publisher
Springer International Publishing
Reference22 articles.
1. Lake, B.M., Ullman, T.D., Tenenbaum, J.B., Gershman, S.J.: Building machines that learn and think like people. Behav. Brain Sci. 40, e253 (2017)
2. Grainger, T., AlJadda, K., Korayem, M., Smith, A.: The semantic knowledge graph: a compact, auto-generated model for real-time traversal and ranking of any relationship within a domain. In: Proceedings of the IEEE International Conference on Data Science and Advanced Analytics, Montreal, pp. 420–429. IEEE (2016)
3. Shalaby, W., Zadrozny, W., Jin, H.: Beyond word embeddings: learning entity and concept representations from large scale knowledge bases (2018). arXiv preprint: arXiv:1801.00388
4. Raposo, D., Santoro, A., Barrett, D., Pascanu, R., Lillicrap, T., Battaglia, P.: Discovering objects and their relations from entangled scene representations (2017). arXiv preprint: arXiv:1702.05068
5. Liang, X., Lee, L., Xing, E.P.: Deep variation-structured reinforcement learning for visual relationship and attribute detection. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Honolulu, pp. 4408–4417. IEEE (2017)