Projects this year both explored theoretical aspects of machine learning (such as in optimization and reinforcement learning) and applied techniques such as support vector machines and deep neural networks to diverse applications such as detecting diseases, analyzing rap music, inspecting blockchains, presidential tweets, voice transfer, ...
Unsupervised Face Recognition in Television News Media
Computer Vision
Cherry Zou, Matthew Sun, Anirudh Jain
[report] —
Prediction of microscale droplet instability in concentrated emulsion
Physical Sciences
Davis Wenham Hoffman
Reliabe neural networks via abstention
Other / General Machine Learning
Amirata Ghorbani, yasaman shirian
[report] —
Recommender Systems: Comparison Analysis between Traditional Techniques and Neural Embedding
Other / General Machine Learning
Se Won Jang, Simon Kim, JeongWoo Ha
[report] —
Whose Rap is it Anyways? - Determining Hip-Hop Artists from their Lyrics
Natural Language
Robin Cheong, Arvind Krishna Ranganathan, Jiaqi Wang
[report] —