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notperry

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  1. I got into MIT and CMU PhD without any ML publication or research experience. So I guess it's not that true. Yeah~!
  2. I looked up previous posts about MIT EECS PhD applications. It seems in previous years MIT asked applicants to choose a specific area, i.e. Area II: AI etc. This year seems to be different: MIT asks applicants to choose 3 areas. I personally chose Theory and ML. Does anyone know about the selectivity and competition among these areas? I'm applying to do a theory-flavored ML so I'm not sure which applicants I'm competing with. I heard Machine Learning is the most competitive area at this moment: it'd be very tough to get into MIT, Berkeley or Stanford without a first-author NIPS or ICML paper. Is that true?
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