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What is CS 760 Project Topics Overview about?

This document provides example topics for final projects in a machine learning course. It discusses topics in three areas: theory, empirical studies, and applications. For theory, it gives examples on generalization bounds for deep learning, distributed learning, and privacy and fairness in machine learning. For empirical studies, it discusses unsupervised learning of representations, adversarial examples and robustness, interpretability and model extraction, and GAN for discrete data. For applications, it

Author

dylan muncchi

Language

EN