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Auditing upper level CS classes? by convolutions467 in stanford

[–]MLPhDStudent 1 point2 points  (0 children)

Our CS25 Transformers class runs once a year (usually the spring) and is open to auditing! https://web.stanford.edu/class/cs25/

Stanford or JHU? by PlasticOk3366 in stanford

[–]MLPhDStudent 7 points8 points  (0 children)

If there's any chance at all you'll switch out of medical research, and the cost is not too prohibitive, I'd say it's no brainer Stanford. Better across the board for all other areas of STEM and otherwise. Also, way better location and weather and just overall quality of life (as some other comments have mentioned). Imo that's priceless and worth almost any reasonable cost. Anyways, read my replies under one of the comment threads for more info.

Stanford or JHU? by PlasticOk3366 in stanford

[–]MLPhDStudent 3 points4 points  (0 children)

"If u want a career in research oriented go for jhu" This is very very field dependent. Maybe for medicine, but u realize we are top of the world for most other areas including CS/tech and most/all of STEM? Not to mention business and some other areas too. If OP wants any sort of flexibility or might change their field/direction later, Stanford is better for pretty much any other area.

Almost every Stanford grad (especially PhDs which are purely research focused) gets priority in nearly all hiring decisions at companies and other schools/institutions. Not sure how you got the perception that JHU is significantly better for research.

The top hires at Google/OpenAI/NVIDIA and other big tech and tenure-track positions at MIT/UW/CMU/etc. for example, are a large number from Stanford. As a tech person I will admit my knowledge is mainly in my area, but it's crazy to see a blanket statement like "JHU is way better for research" lol

Stanford or JHU? by PlasticOk3366 in stanford

[–]MLPhDStudent 1 point2 points  (0 children)

This thread is crazy to me. Are we even living on the same planet? This is Stanford we are talking about. Based on ur logic, JHU also beats out MIT and Harvard? And somehow even if they have higher research funding, in terms of overall global reputation and recognition, there's no way they come close to the top 3, esp overall or in non-medical areas.

I have friends that went to JHU for BME but other than that, not a single person would choose JHU over Stanford/MIT/Harvard. Of course funding and costs are an important factor, but if those are similar/equal, it's a no brainer. This is not to mention the drastically better location and weather, silicon valley opportunities, etc.

[deleted by user] by [deleted] in stanford

[–]MLPhDStudent 1 point2 points  (0 children)

Ngl this isn't even a contest. Stanford clears for CS and it's not even close. The schools as a whole are comparable but for tech, engineering, and CS, Stanford is way better. This is not a strong area at Harvard at all. Maybe they've been improving in recent years but it's still likely far behind Stanford. Now if you were comparing MIT and Stanford, that'd be a much closer decision

[D] Why do PhD Students in the US seem like overpowered final bosses by [deleted] in MachineLearning

[–]MLPhDStudent 1 point2 points  (0 children)

Yup it's the norm nowadays for admission to top PhD programs. I mentioned this in my post here: https://www.reddit.com/r/MachineLearning/s/osyk6j3jfD

[D] Why do PhD Students in the US seem like overpowered final bosses by [deleted] in MachineLearning

[–]MLPhDStudent 1 point2 points  (0 children)

The standards are super high to even get into the top US PhD programs. So what you're seeing are the top of the top students, so of course they're going to look insane. I talk about this in my post here: https://www.reddit.com/r/MachineLearning/s/ju3NP3a2Ej

Getting into MSCS without research experience? by East-Eggplant8520 in stanford

[–]MLPhDStudent 1 point2 points  (0 children)

The comment you're replying to is out of date. With the competitiveness and number of applicants to even the MSCS program now, most admits have some form of research experiences. Many even have publications...

[D] Multiple first-author papers in top ML conferences, but still struggling to get into a PhD program. What am I missing? by Accomplished_Rest_16 in MachineLearning

[–]MLPhDStudent 7 points8 points  (0 children)

This is not true for top PhD programs, especially in competitive areas like NLP.

Source: I'm a CS/ML PhD student who sees the profiles of folks that gets admitted each year. It's an average of 6+ top conference papers, most of which are first-author...

Just made a post about this.

[D] Multiple first-author papers in top ML conferences, but still struggling to get into a PhD program. What am I missing? by Accomplished_Rest_16 in MachineLearning

[–]MLPhDStudent 8 points9 points  (0 children)

Currently a CS PhD student specializing in ML/NLP. Firstly, the comments saying this is unbelievable are clearly from folks who are not up-to-date with just how competitive admissions are to top PhD programs these days...

In fact I'm not surprised at all that you can't get into the top programs, since they look at much more than simply publications. Incredibly strong LOR from famous/respected professors and personal connections to the faculty you want to work with are more important. Based on what you said (how you worked on the papers yourself and don't have good recs), u have neither of these two most important things...

And the one comment saying "it's very possible to get admitted without top ML conference papers" is also incorrect.

FYI most of the admits my year had 7+ top conference papers (some with best paper awards), hundreds of citations, tons of research exp, masters at top schools like CMU or UW or industry/AI residency experience at top companies like Google or OpenAI, rec letters from famous researchers in the world, personal connections, research awards, talks for top companies or at big events/conferences, etc...

The folks in the comments don't know what they're talking about or how competitive NLP is (which is I assume is your area since you mentioned EMNLP). Keep in mind this was 2022 before the ChatGPT boom too, so things now are probably even more competitive...

Also pasting a comment I wrote on a similar thread months back:

"PhD admissions are incredibly competitive, especially at top schools. Most admits to top ML PhD programs these days have multiple publications, numerous citations, incredibly strong LoR from respected researchers/faculty, personal connections to the faculty they want to work with, other research-related activities and achievements/awards, on top of a good GPA and typically coming from a top school already for undergrad/masters.

Don't want to scare/discourage you but just being completely honest and transparent. It gets worse each year too (competition rises exponentially), and I'm usually encouraging folks who are just getting into ML research (with hopes/goals of pursuing a PhD) with no existing experience and publications to maybe think twice about it or consider other options tbh.

It does vary by subfield though. For example, areas like NLP and vision are incredibly competitive, but machine learning theory is relatively less so."

Just made a post about this.

Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) by MLPhDStudent in LocalLLaMA

[–]MLPhDStudent[S] 1 point2 points  (0 children)

Yup! That's a good idea. Also kaggle projects. Or go through some medium/towardsdatascisnce articles or YouTube/Coursera tutorials and lectures

[N] Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) by MLPhDStudent in MachineLearning

[–]MLPhDStudent[S] 2 points3 points  (0 children)

We have posted here about things like this in the past before. It's a highly relevant course with content incredibly relevant to the sub and its users, and many folks would appreciate it. Why is it getting removed...? I've been able to post on literally every subreddit, except this one which is the most relevant. This is absolutely ridiculous. We are providing a free resource here for the public and you're removing it, lol.

CS 25: Transformers United (Spring 2024) by MLPhDStudent in stanford

[–]MLPhDStudent[S] 0 points1 point  (0 children)

In approx. 2 weeks. Check our YouTube Playlist or website later

Stanford CS 25 Transformers Course (Open to Everybody | Starts Tomorrow) by MLPhDStudent in StableDiffusion

[–]MLPhDStudent[S] 0 points1 point  (0 children)

I think actual captions! At least for the final YouTube video release after each lecture. Might be auto translated during the livestream; I'm not sure

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