CS274b: Ideas for Projects

Here are collected some possible project ideas and associated papers. You do not need to choose something on this list; it is just a list of possibilities to get you started. You may structure your project exploration around a general problem type, algorithm, or data set, but should explore around your problem, testing thoroughly or comparing to alternatives.

You should submit a project proposal (1 page description of your group and proposed project concept) by Friday 4/22.

You should turn in a write-up (< 10 pages) describing your project and its outcomes, similar to a research-level publication (journal or CS conference); I suggest the latex styles for NIPS or UAI. This is due by 5pm Friday 6/3, to EEE.

Inference projects
Explore a particular inference algorithm's performance, either for inference itself or when used as part of learning.

  • Variational techniques
  • Monte Carlo techniques

Data-oriented projects
One project route is to take an interesting high-dimensional dataset and build a graphical model for it. Some possible examples:

  • Spatio-temporal traffic counts or flow
  • Text & language data
  • Protein sequence & structure data
  • Image data (segmentation, recognition, etc.)
  • Sequence prediction challenge

Modeling techniques
Another route is to explore a particular technique for building models that we have not explored in depth. Gaussian and Gaussian-like models:

Discrete models:

Learning structure

Latent variable models

More ideas from other schools:

Last modified April 14, 2016, at 09:31 AM
Bren School of Information and Computer Science
University of California, Irvine