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seems_fair

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About seems_fair

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    Caffeinated

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  • Application Season
    2018 Fall

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  1. I couldn't find one, so I created one myself: https://t.me/umass_fall2018
  2. seems_fair

    Amherst, MA

    I will go to Umass Amherst as well. Is there telegram/whatsapp/facebook for those who got in?
  3. I thought about it as well and I agree about effort and money part. Still, I think that this process is very inefficient (as you mentioned earlier) especially comparing the number of open postdoc positions (almost every lab has them) to the number of accepted phd students. It looks like training process fails to supply the demand in good researchers. Or maybe the field (ML/DL) is new that's why there is a shortage of good researchers in this area. But that's the reality we live (and apply) in. ¯\_(ツ)_/¯
  4. I think that the admission process is extremely risk-averse adds another layer of complexity. Given the number of applicants, if you are non-usual applicant (i.e. 30+, switching areas or have uncommon personal history) you are at a disadvantage because there are a lot of comparable candidates which look 'safer' (i.e. solid undergrad with good GPA and decent ML-research experience even without publications). I am in similar position as you (I am 30+) and got only one offer so far although I have 4 first-author publications in related field (but I also have really bad undergrad GPA and very decent MS).
  5. Congratulations! I applied there as well, but haven't heard from them.
  6. Good point, I was thinking of this. As of now, I want to keep it as is -- otherwise, it will require generating everything again. Also, bear in mind that this data is based on 5-year period, so these spikes maybe for the particalar year in admissions.
  7. I checked data and these are kinda specific programs (about several hundred observations for all universities). It is just too granular. Sorry.
  8. I hear the Machine Spirit's voice: Mechanical and Aerospace Engineering, PhD https://imgur.com/a/qDkjN Mechanical and Aerospace Engineering, MS https://imgur.com/a/UIYnF The Emperor protects.
  9. There can be bias in self-reported scores, because rejected people with good scores may be salty. That's why I was mostly interested in timelines.
  10. I got a rejection from UT Austin as well. Lot of good candidates ¯\_(ツ)_/¯
  11. Here you go: Civil Engineering PhD https://imgur.com/a/rYcyf Civil Engineering MS https://imgur.com/a/rOarb
  12. I wouldn't look to acceptance rates based on this data because they are definitely skewed towards acceptance in most cases.
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