Here, we cover the different ways to learn about the important topics and themes of discussion in the top-tier conferences in your domain. Whatever, I mention below is primarily based on my experience in Computer Science(CS) conferences. However, they are general enough, to prove useful for other domains as well.
I had earlier covered in a separate blog, the list of top computer science conferences month-wise, for the research domains of Machine Learning, Data Mining, Natural Language Processing, and Information Retrieval.
1. Workshops and tutorials slides
I found these presentations an easy-to-understand resource for understanding the overall breadth of a field you are new to or an emerging field. I will try to provide a list of such resources, which I found mostly from Twitter :
- Tips and tricks for effective Ph.D. by Dr. Renata Borovica-Gajic
- Machine Learning and Modeling for Social Networks by Olivia Woolley Meza, Izabela Moise, Nino Antulov-Fatulin, Lloyd Sanders
- Frontiers of Natural Language Processing by Sebastian Ruder, Herman Kamper, Panellists, Leaders in NLP, Everyone
2. Video lectures of oral presentations
videolectures.net and Youtube are two primary resources
SlidesLive has a decent library of interesting conference talks (including some of ICLR talks)
3. Conference Proceedings
4. Working notes
After the conference is over, within a few days, look out for student notes or some other attendee to the conference. A good habit is to follow the graduate students and faculty of reputed institutions on Twitter. Choosing people from the same domain as your research interest helps a lot.
- ICLR 2019 notes by David Abel
If you want to add anything interesting, please comment below. I would love to hear from you.