Abstract: This talk will discuss a variety of recent papers, mostly from 2019. The talk will be organized around four “themes” of deep learning:
- Domain Independence
- Information theory
- Moore’s Law of AI
- Self-Supervised Pretraining
- Vector Quantization
- Mutual Information Objectives
February 5 @ 12:30
12:30 pm (1h)
Discovery Building, Orchard View Room
David McAllester