Persistent and Future Themes of Deep Learning
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