66
votes
What if I made a mistake in a paper and now I got a minor revision?
You should always mention this! If you don't, then the entire manuscript becomes suspect. The reviewer has no way of telling what else you changed, and would be forced to recheck the entire manuscript....
62
votes
Frustration with machine learning and deep learning research
As I wrote in this old answer, "it didn't work" is not the end -- the end is knowing why it didn't work.
The caveat with AI/ML is that things are moving so quickly that "nobody got time ...
52
votes
Accepted
Is expanding the research of a group into machine learning as a PhD student risky?
I would ask about having a co-supervisor. Having access to esteemed DL researchers is great -- but they will have limited time/interest in helping you if you are not "formally" their student. If you ...
39
votes
Is it okay to submit my paper if my code can't be organized now?
I am not an expert in coding nor are my colleagues.
This is not the first time you have made strange statements about "coding." It is true that you do not need to be an "expert in ...
39
votes
Accepted
Assigned to Review a Paper I Previously Reviewed
If the authors did not change their paper in response to your review (which I assume you mean by "I was assigned the exact same paper"), then:
Your review is still as relevant as it was ...
29
votes
Is it okay to submit my paper if my code can't be organized now?
Most likely NO
It takes much time to go through every step
This left me stunned: didn't you write the code yourself?
I am afraid that the readability and the organization of the code impact the ...
27
votes
Why are there such low rates of acceptance in AI/ML conferences?
Crucial question: do your supervisor's students regularly publish there?
These are the possibilities:
If so, and if most of their students do, they have a pipeline and know how to get top-worthy ...
27
votes
Accepted
Will it be a risk for my future research career in machine learning if I avoid learning and using Python?
It is not a career problem to have a preference or dislike for a language. It is a problem if you cannot work with it if it is required.
You are not working in isolation.
Even as an academic ...
23
votes
Accepted
Instructor to assistant professor transition
As a general principle, ceteris paribus, if you have the choice between offers of an instructor position at an elite institution versus a tenure-track position at a non-elite institution, I would ...
17
votes
Frustration with machine learning and deep learning research
It's no surprise that many promising ideas don't work out. Indeed
Maybe this idea is simply not doable for the current task.
For a related story in mathematics, see What to do when you spend several ...
17
votes
Accepted
Consequences of publishing work using text from millions of Sci-Hub articles
It is standard practice to detail in the methods of a paper how any large literature review was undertaken. Often people specify the search terms they used and the database they accessed. In your case ...
17
votes
Assigned to Review a Paper I Previously Reviewed
This is becoming incredibly common in Machine Learning and Computer Vision. Too many papers, too much interest in the area, not enough good reviewers, and no good second-tier or third-tier conferences ...
16
votes
Why are there such low rates of acceptance in AI/ML conferences?
Conferences have limited speaking slots, limited by time and space. If you get a lot of submissions in any hot field, you get a low acceptance rate.
Note that venues for conferences are contracted for ...
15
votes
Will it be a risk for my future research career in machine learning if I avoid learning and using Python?
The success of your career will depend more on the results you obtain and their verifiability than on the specific set of tools you use, whether programming languages than otherwise.
However, using ...
14
votes
Is expanding the research of a group into machine learning as a PhD student risky?
Do you want to design a tool that can build many things, or learn how best to use the available tools to build a house?
Do you want to do a PhD in machine learning or are you trying to use machine ...
14
votes
Is it okay to submit my paper if my code can't be organized now?
If you do not understand your code, how do you know that it is actually working, and there is no bug in your code? And how can you publish something you don't understand?
It could be possible that you ...
13
votes
Accepted
Writing a machine learning paper as an independent researcher
First point - don't force it. Getting ideas for academic papers comes over time and has to be a natural process. The more you try to get good ideas for papers, the more unnatural the process can ...
11
votes
Is it possible to ethically use an undergraduate for publishing my research as a PhD student in the following context?
This question seems to mix up a number of different threads.
Much research is collaborative in its nature. A project may involve multiple individuals who each bring different things to the table. ...
9
votes
Which software is appropriate for drawing complicated block diagrams in academic papers?
I'll jump in with a recommendation of how I would create the picture for my paper. Of course, reasonable people might disagree.
I write my papers in LaTeX, so I generally want a system that works ...
9
votes
Accepted
Which set of results to cite when there are contradicting numerical results between articles
If you are reviewing a field, then you need to be complete. Picking and choosing is a form of bias, though you can explore whether newer results are an advance in validity over older.
So, you need to ...
9
votes
Why are there such low rates of acceptance in AI/ML conferences?
These are indeed competitive conferences though they might not be quite as competitive as the percentages appear, since some fraction of the submissions are crankery/junk.
Some of my colleagues do ...
9
votes
Why are there such low rates of acceptance in AI/ML conferences?
This has always been the case for computer science conferences; some has low double digits acceptance rates, e.g., ACM SIGCOMM comes to mind.
Top researchers are measured by the number of such ...
9
votes
Accepted
Degrees path for AI and ML Research (eventually) – Math vs. Computer Science?
My background is in mathematics: thesis in complex geometry, Ph.D. in something that could charitably be called "discrete optimization". During my Ph.D., I did inferential statistics, ...
9
votes
Will it be a risk for my future research career in machine learning if I avoid learning and using Python?
Well, yes, though maybe not for the reasons you think. Let me give a more, ahem, high level view than the current answers.
I don’t use technique X because I hate it.
This is a really dangerous ...
8
votes
Can we upload an unfinished paper of theoretical nature to arXiv where the theory has been established, but illustrations are still to be added?
I suspect the relative merits of different approaches depends on discipline and maybe geography, but in my area (interdisciplinary with applied mathematics and business most prominent, North America), ...
8
votes
Instructor to assistant professor transition
Very, very few assistant professors in the sciences in the USA have ever been instructors.
Some instructors have gotten promoted to a higher rank within their university, but it was not called "...
8
votes
Consequences of publishing work using text from millions of Sci-Hub articles
Is it even necessary to specify where I got the full-text articles from, barring a peer reviewer requesting it?
Authors are generally encouraged to give full details of their work, such that other ...
8
votes
Consequences of publishing work using text from millions of Sci-Hub articles
The data collection you describe probably violates copyright laws. The specific legality of downloading articles from SciHub depends on the jurisdiction and on other circumstances; e.g., personal use ...
8
votes
Accepted
Publishing in a field that I am not an expert in
I agree with the consensus in the comments: you really should try to collaborate with an expert in Machine Learning (or, as I would really recommend, in statistics, but I'm biased).
On the one hand, ...
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