The year of 2019 has seen the success of several competitions organized in the AutoDL challenge series, which provides a reusable benchmark in the domain of AutoML and Deep Learning. These competitions pose challenging questions of AutoML on many (if not all) domains that Deep Learning has been known to be successful in: Computer Vision, Natural Language Processing, Speech Recognition, etc.
Surprisingly, the AutoML problem being challenging, the winner solutions of each competition generally made great progress compared to baseline methods, given the specific domain (e.g. image, video, speech or text). In this workshop, we'll let the winners of each challenge share their winning approach. The challenges and the winners are:
(the teams in bold will be present in this workshop)
One highlight of this workshop is that we will kick off the most challenging and the last competition in this series:
(to be launched on 14 Dec 2019)
In this final challenge of the series, all domains will be combined! And participants will still be asked to provide one single algorithm that works well on all these domains.
Keywords:
AutoML, Deep Learning
Computer Vision, Natural Language Processing, Speech Recognition, Meta-learning, Any-time Learning
Date: Sat, 14 Dec 2019
Workshop chairs:
Main organizers of AutoDL challenges:
Other contributors to the organization, starting kit, and datasets, can be found on the Home page.