This website shows the results of an analysis of research articles published at top AI and Machine Learning venues using hierarchical latent tree analysis. The results provide a panorama view of the field. Readers can find answers to the following questions:
- What are the main topics discussed in the articles? How do they distribute across the venues and over time?
- Which topics enjoy the fastest increase in popularity in recent years?
- For each topic, which articles are the influential ones? Who are the influential authors? What are the latest developments?
This
file explains why the website might be useful from the perspective of a PhD student.