Lecture - Theories of Deep Learning MT25, XVI, Ingredients for a successful mini-project report
- Pick a topic that you are excited about
- It should read like a 20 page report that’s been compressed into a 5 page report
- Adapt your code from others
- Pick papers that have code already to build on
- Don’t just focus on one paper
- Compare different aspects of multiple papers
- Look at papers that came out at the same time and haven’t been directly compared
- Don’t write about an application (e.g. this method gets 2% better), this project is about the theory of deep learning
- Work out what you don’t like when reading a paper, and don’t do that
- Clearly state what is new, be upfront and don’t present other results as your own
- Don’t pick papers that are very close to papers presented in the lectures