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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
Vote

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
Vote
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
Vote
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
Vote
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
Vote
Roman

Comments

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