Helen  Zhou

Helen Zhou

Scholar Title

Undergraduate Research and Innovation Scholar

Research Title

Understanding and Predicting Across Multiple Food Domains

Cohort

2016–2017

Department

Electrical Engineering and Computer Science

Research Areas
  • Artificial Intelligence & Machine Learning
Supervisor

Deb Roy

Abstract

Multi-Modal Deep Learning Using Network Features
My project aims to predict food purchase behavior by combining information from multiple modalities (such as tweets news weather census data and product descriptions). Multimodal learning is a relatively new machine learning technique and has been shown to improve over performance with just one modality. By training deep Boltzmann machines on two distinct modes and then combining these into a shared feature representation we will have a more robust input for our deep neural network.

Quote

Throughout my years at MIT I’ve found machine learning and computer vision highly interesting and I’m excited to dive into exploring this new direction that combines information from a variety of channels. I hope to deepen my understanding of state-of-the-art machine learning techniques as well as develop my research skills.

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