Mini Project
Objectives:
For the Project you will have to implement a model based on one of the following paper. I recommend for image based model to use a small dataset and not the dataset proposed in the paper (to limit computationnal resources):
- (CycleGAN) Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
- (VAE) DRAW: A Recurrent Neural Network For Image Generation
- (Attention based model) End-To-End Memory Networks
- (diffusion model) Denoising Diffusion Probabilistic Models
Also you can choose lower hidden size to ensure it runs on your computer
Submission
You should send a pdf report using science article template (
ICLR template). You should:
- Introduce your topic (with a research question) -- up to 1 page
- Discuss related works -- up to 1 page
- Describe the method -- up to 1 page
- Present your experimental setup (evaluation metrics, dataset, parameters of the model, ...) -- up to 1.5 pages
- Report and discuss the result of your experiments -- up to 2 pages
- Conclude and discuss possible improvments/limitations -- up to .5 page
Deadline
April 30 2026