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AutoGluon NeurIPS 2022 Workshop Survey
1.
What data modalities do you use most often?
tabular (categorical/numerical)
image
text
audio
video
Other (please specify)
2.
How do you describe yourself?
Researcher
Software engineer
Data scientist/Business analyst
Solution architect
Other (please specify)
3.
What is the biggest blocker for you to adopt SOTA deep learning models for your problem of interest?
Get data/label data
Find the right model architecture
Train a deep model properly
Model deployment
Other (please specify)
4.
In terms of open-source AutoML toolkit, which do you prefer?
Directly using it out of box, write as few lines of code as possible
Write more code is ok, but expect more flexibility in customization
Other (please specify)
5.
Check any of the following if it is an important feature for an AutoML system to have for you to get value from it.
Automated exploratory data analysis
Large-scale Pretraining
Fast inference
Model compilation
Distribution shift detection & correction
Distributed training
Strong accuracy
Fairness
Differential Privacy
Fast install
Other (please specify)
6.
What operating system do you use most for machine learning need?
Linux
Windows
Mac
Other (please specify)
7.
How many years of coding experience do you have?
8.
What features would you like to see beyond we have introduced in today’s workshop?
9.
Do you have any feedback for us after the hands-on session?
Current Progress,
0 of 9 answered