Jinyung Hong

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Number Of Hidden Neurons

Adaboost Classifier

Prior Knowledge

Top Venues

Publications

Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. CoRR (2024)
Jinyung Hong, Theodore P. Pavlic
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. CoRR (2024)
Jinyung Hong, Keun Hee Park, Theodore P. Pavlic
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace. WACV (2024)
Jinyung Hong, Theodore P. Pavlic
Concept-Centric Transformers: Concept Transformers with Object-Centric Concept Learning for Interpretability. CoRR (2023)
Jinyung Hong, Theodore P. Pavlic
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. UniReps (2023)
Jinyung Hong, Theodore P. Pavlic
Learning to modulate random weights can induce task-specific contexts for economical meta and continual learning. CoRR (2022)
Jinyung Hong, Theodore P. Pavlic
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection. CoRR (2021)
Jinyung Hong, Theodore P. Pavlic
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. NeSy (2021)
Jinyung Hong, Theodore P. Pavlic
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. CoRR (2021)
Jinyung Hong, Theodore P. Pavlic
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks. CoRR (2021)
Jinyung Hong, Theodore P. Pavlic
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness. CoRR (2020)