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What's next for AutoML? #ICML2017

Inviting ideas for the AutoML community discussion.
Feel free to post questions, add your own insights, or upvote specific questions.


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Ideas
Pros and cons
 
Votes
What about AutoML for unsupervised problems (e.g. clustering)?
 
4

Zia, Hima, Andrey and 1 more

Do we need more 'dirty' datasets? Are we focussing too much on the same 'clean' datasets when evaluating AutoML systems?
3
Andrey
Ioannis
Zia
What are the next biggest challenges to tackle AutoML?
 
Data augmentation. It has been used to achieve significant improvements in performance, but is pr... more
by Ioannis
2
Andrey
Ioannis
Will AutoML eliminate the need for machine learning researchers?
 
At some point in the future, probably.
1
 
I hope not!
1
 
Not before AGI is created
1
1
Joaquin
My experience at Google suggests that it is not difficult to train a programmer to be able to apply standard ML techniques. Given this, is full automation a worthwhile goal? Perhaps the focus should be on minimizing manual tuning, not eliminating it.
by Kester Tong
 
Maybe, we do not want Google to monopolize machine learning
1
Roman

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