An insect-inspired randomly, weighted neural network with random fourier features for neuro-symbolic relational learning J Hong, TP Pavlic Proceedings of the 15th International Workshop on Neuro-Symbolic Learning …, 2021 | 7 | 2021 |
SPARQL query processing system over scalable triple data using SparkSQL framework MJ Jeon, JY Hong, YT Park Journal of KIISE 43 (4), 450-459, 2016 | 5 | 2016 |
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection J Hong, TP Pavlic The First International Workshop on Combining Learning and Reasoning …, 2022 | 4 | 2022 |
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace J Hong, KH Park, TP Pavlic IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024, 2024 | 3* | 2024 |
Kcnet: An insect-inspired single-hidden-layer neural network with randomized binary weights for prediction and classification tasks J Hong, TP Pavlic arXiv preprint arXiv:2108.07554, 2021 | 3 | 2021 |
Scalable Ontology Reasoning Using GPU Cluster Approach JY Hong, MJ Jeon, YT Park Journal of KIISE 43 (1), 61-70, 2016 | 1 | 2016 |
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks J Hong, ES Jeon, C Kim, KH Park, U Nath, Y Yang, P Turaga, TP Pavlic arXiv preprint arXiv:2403.14140, 2024 | | 2024 |
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks J Hong, TP Pavlic UniReps: the First Workshop on Unifying Representations in Neural Models at …, 2023 | | 2023 |
Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual Learning J Hong, TP Pavlic arXiv preprint arXiv:2204.04297, 2023 | | 2023 |
Scalable RDFS Reasoning Using the Graph Structure of In-Memory based Parallel Computing MJ Jeon, CS So, B Jagvaral, KP Kim, J Kim, JY Hong, YT Park Journal of KIISE 42 (8), 998-1009, 2015 | | 2015 |