Jinyung Hong
According to our database1,
Jinyung Hong
authored at least 9 papers
between 2020 and 2024.
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Bibliography
2024
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks.
CoRR, 2024
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks.
CoRR, 2024
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Concept-Centric Transformers: Concept Transformers with Object-Centric Concept Learning for Interpretability.
CoRR, 2023
2022
Learning to modulate random weights can induce task-specific contexts for economical meta and continual learning.
CoRR, 2022
2021
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection.
CoRR, 2021
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks.
CoRR, 2021
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning.
Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021
2020
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness.
CoRR, 2020