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Which project to work on?
IF-1 Develop ML algorithms for image classification and segmentation tasks. The metric is the model accuracy. A bonus project is to come up with explanations for the model predictions (for correct/incorrect answers)
IF-2 Develop ML algorithms for "clustering" (partitioning) electromagnetic shower fragments. The metric is ARI. A bonus project is to come up with explanations for the model predictions (for correct/incorrect answers)
IF-3 Develop ML algorithms to generate images in the IF image datasets. Explain your loss function and
EF-1 Improve classification performance, using accuracy and AUC as metric
EF-2 Try to make generative model of jet images, using a AUC of a discriminator to distinguish Generative model data / real data as metric
EF-3 Choose one model and explore interpretability
EF-4 Develop model that can both classify jet and do regression for mass or energy, etc. Explore if extra regression tasks help / hurt classification. Explore if classification helps / hurts regression
CF-X TBD but choose this if you are interested in working on the CF project
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