10 citations · 12 across the 12 of their papers we have counts for
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cs.LG2020
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…
cs.LG2020
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…
cs.CV2020
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…