Today I spoke at the “meeting-in-meeting” on machine learning at the summer AAS meeting. My slides are here. I started out a bit negative but I ended up saying very positive things about what machine learning can do for astrophysics. I got as much feedback on the twitters afterwards (maybe more) than I did in real time. Several of the other speakers in my session mentioned or discussed contrastive learning, which looks like it might be an interesting unsupervised technique.
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