8 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 4 cited
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…
cs.AI2020★ 8 cited
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…
cs.CY2020
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…