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This guy's time management is impressive. If you're diligently spending 1 day a week exploring new research methods, writing and reviewing your lab notebook, st
by saeranv 7y ago
This guy's time management is impressive. If you're diligently spending 1 day a week exploring new research methods, writing and reviewing your lab notebook, staying up-to-date on current SOTA research, writing SOTA algorithms for review, reviewing textbooks, engaging in "personal development" time (which apparently means general ML research) - when do you have time to actually do your main research?
- leereeves 7y agoOne day a week hardly seems like enough to stay up to date on SOTA research (at least, anything more than being aware it exists). There are over 200 articles on the arXiv in stat.ML from this week. https://arxiv.org/list/stat.ML/recent https://arxiv.org/list/stat.ML/recent
- denzil_correa 7y agoNot all 200 articles in stat.ML are SOTA research.
- leereeves 7y agoCertainly not, but an 8 hour day dedicated to deciding just that gives you only 2 minutes per article.
- backpropaganda 7y agoYou only need a few seconds to read the title, and you can cut away 150 out of those 200 with that. If it's a paper simply not in your area of research, you don't need to bother. You can then read the abstract (30 seconds) for the rest, and finally you'll pick 5-10 papers to read. You'd skim them with 5-10 mins per paper, and if you like what you see in 1-2 papers, you'll give it a more through read. So this is 10 mins + 30 mins + 2 hours + buffer, which is at best 3-4 hours. Of course this requires a strong filter at the first stage. You can also set aside time to investigate specific topics outside your work, but you won't do that as often as you keep up with your own literature.