1 citations · 1 across the 4 of their papers we have counts for
5 papers
Mix and Mask Actor-Critic Methods
Dom Huh
Shared feature spaces for actor-critic methods aims to capture generalized latent representations to be used by the policy and value function with the hopes for a more stable and s…
Synthetic Embedding-based Data Generation Methods for Student Performance
Dom Huh
Given the inherent class imbalance issue within student performance datasets, samples belonging to the edges of the target class distribution pose a challenge for predictive machin…
Greedy Bandits with Sampled Context
Dom Huh
Bayesian strategies for contextual bandits have proved promising in single-state reinforcement learning tasks by modeling uncertainty using context information from the environment…
Hierarchical BiGraph Neural Network as Recommendation Systems
Dom Huh
Graph neural networks emerge as a promising modeling method for applications dealing with datasets that are best represented in the graph domain. In specific, developing recommenda…
Generative Multi-Stream Architecture For American Sign Language Recognition
Dom Huh, Sai Gurrapu, Frederick Olson +3
With advancements in deep model architectures, tasks in computer vision can reach optimal convergence provided proper data preprocessing and model parameter initialization. However…