1. Introduction  
2. Problem Formulation  
3. High-Level Overview of Dimensionality Reducing Transformations  
4. Lottery Ticket Hypothesis  
5. Pruning at Initialization  
6. Dynamic Sparse Training  
7. Freezing Parts of a Network  
8. Comparing and Discussing Different Dimensionality Reduced Training Methods  
9. Conclusions  