AutoML Cup

The AutoML Cup is an automated machine learning competition with a focus on diverse machine learning tasks and data settings — part of the @automl_conf 2023.

[AutoML Seminar @AutomlSeminar]

We hope that you are excited as we are about the @automl_conf in Berlin this year! We will organize a AutoML Seminar social event on Friday to give you the full Berlin experience :-). Get in touch with us during the conference for more details.

[AutoML Cup @AutoML_Cup]

All three phases of the AutoML Cup are in full swing and are accepting submissions until September 10!

Make your submissions today for eternal glory, exciting hardware prizes, and a chance to develop cutting edge AutoML methods for diverse ML settings!

https://t.co/pz07E2fRto

[AutoML Cup @AutoML_Cup]

We’re excited to launch the first phase of the AutoML Cup competition!!!

The submission deadline for this phase is July 10th, so submit your methods to phase 1 today!
https://t.co/z5QM4n5T1h

[AutoML Seminar @AutomlSeminar]

Checkout the talk by @nick11roberts,@williamcxxz and Samuel Guo about insights from the AutoML Decathlon challenge: https://t.co/YxhR0psyON

[AutoML Cup @AutoML_Cup]

Stay tuned for more updates about the competition!

[AutoML Cup @AutoML_Cup]

Interested in submitting to the AutoML Cup? https://t.co/mijaFqGZBv

Head on over to the competition website for important dates and phases of the competition!

Most importantly, the competition will run from May 1 through August 31

[AutoML Cup @AutoML_Cup]

The third and final phase will build on the first two phases but will additionally require handling real-world situations in which access to labeled data is limited. This phase will run from July 1 — August 31.

[AutoML Cup @AutoML_Cup]

We will be announcing more details soon — so stay tuned! 🎸

[AutoML Cup @AutoML_Cup]

Announcing the AutoML Cup 2023!!! 🤖🏆📊

The AutoML Cup is an automated machine learning competition with a focus on diverse machine learning tasks and data settings — which will be part of the @automl_conf 2023.

https://t.co/mijaFqGZBv

[AutoML Cup @AutoML_Cup]

This year’s AutoML Cup goes a step further by challenging competitors to cope with additional real-world data issues, e.g., limited access to labeled training data.