8 citations · 12 across the 5 of their papers we have counts for
6 papers
BERT-VQA: Visual Question Answering on Plots
Tai Vu, Robert Yang
Visual question answering has been an exciting challenge in the field of natural language understanding, as it requires deep learning models to exchange information from both visio…
Privacy Preserving Inference of Personalized Content for Out of Matrix Users
Michael Sun, Tai Vu, Andrew Wang
Recommender systems for niche and dynamic communities face persistent challenges from data sparsity, cold start users and items, and privacy constraints. Traditional collaborative…
GANime: Generating Anime and Manga Character Drawings from Sketches with Deep Learning
Tai Vu, Robert Yang
The process of generating fully colorized drawings from sketches is a large, usually costly bottleneck in the manga and anime industry. In this study, we examine multiple models fo…
How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference
Tai Vu, Emily Wen, Roy Nehoran
The challenge of speeding up deep learning models during the deployment phase has been a large, expensive bottleneck in the modern tech industry. In this paper, we examine the use…
FlapAI Bird: Training an Agent to Play Flappy Bird Using Reinforcement Learning Techniques
Tai Vu, Leon Tran
Reinforcement learning is one of the most popular approaches for automated game playing. This method allows an agent to estimate the expected utility of its state in order to make…
Combating The Machine Ethics Crisis: An Educational Approach
Tai Vu
In recent years, the availability of massive data sets and improved computing power have driven the advent of cutting-edge machine learning algorithms. However, this trend has trig…