26 Sep 2023
All the talks from #AutoML23 are online! 📺 Link below.
Thanks @LindauerMarius for the heads up. 👍
22 Sep 2023
If you missed #AutoML23, we now have photos, talks, and (most) panels online. Please check out photos.app.goo.gl/UEVnYc9kHj… and youtube.com/@automl_conf/pla… I'm very happy that attendees were smiling so often -- seems like #AutoML23 was a big success and everyone enjoyed it. 🙏
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22 Sep 2023
If you missed #AutoML23, we now have photos, talks, and (most) panels online. Please check out photos.app.goo.gl/UEVnYc9kHj… and youtube.com/@automl_conf/pla… I'm very happy that attendees were smiling so often -- seems like #AutoML23 was a big success and everyone enjoyed it. 🙏
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21 Sep 2023
TMLR (@TmlrOrg) had a successful partnership with @automl_conf #AUTOML23, featuring four TMLR papers in the journal-to-conference track at their event! Check them out here: openreview.net/group?id=TMLR…
I wonder what other conference partnerships TMLR will see next 👀🤔
18 Jan 2023
We are happy to announce our partnership with @TmlrOrg. As part of the journal track of #AUTOML23, you can also submit papers accepted at #TMLR. After a lightweight review, you can get an "AutoML certificate" at #TMLR and present your paper at #AUTOML23. 🧵
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17 Sep 2023
I gave a keynote in #AutoML23 conference. Thanks @automl_conf for hosting!
15 Sep 2023
Last but not least, Hayeon Lee talks in her timely keynote about transferable NAS.
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15 Sep 2023
@FrankRHutter passing over his general chair role to @LindauerMarius for next years‘s @automl_conf happening in Paris! #AutoML23
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15 Sep 2023
Maybe some attendants from #AutoML23 @automl_conf could also lend a hand 😊.
15 Sep 2023
In the aim of automating data science, the question is how involved a human (user) currently is in data science and if you would like to see humans being involved more/less. 🤓 Would be great if you could help figuring this out, especially as part of the #AutoML community
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15 Sep 2023
Excited for the poster session this afternoon at @automl_conf! I'll be talking about hyperparameter optimisation for increasing data set sizes and learning between tasks.
Work with Huibin Shen, @FrancoisAubet, David Salinas and @kleiaaro #AutoML23
1 Jul 2023
Finding yourself repeatedly training your ML model because you’ve collected more data? Not sure what to do with the hyperparameters? We investigated for you!
Check out the paper arxiv.org/abs/2306.16916 with the wonderful Huibin Shen, @FrancoisAubet, David Salinas and @kleiaaro
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15 Sep 2023
Today is the last chance to meet and discuss about #GreenAutoML🌳 with me or my great attending co-authors @ATornede, @wever_marcel (online or offline) at #AutoML23 @automl_conf 🤓 Very much looking forward to the final day!
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14 Sep 2023
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14 Sep 2023
Shortly before our going on the boat cruise @automl_conf for #AutoML23. Who else is hyped? Joint work with Konrad, @FehringLukas, @CBen00, @TViering, @_helenagraf & @TanjaTornede 😎
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14 Sep 2023
Führende #MachineLearning-Expert:innen waren in dieser Woche für die #AutoML23 zu Gast am HPI. Die internationale Konferenz ist die erste Zusammenkunft von Fachleuten, die sich mit der fortschreitenden Automatisierung des maschinellen Lernens (#ML) befassen.📸: @reinhardtundso1
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14 Sep 2023
Next up @automl_conf after lunch 🥗 : @estebitius giving his keynote on AutoML-Zero to One: Discovering ML from Simple Primitives #AutoML23 👨🏫🚀
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14 Sep 2023
You can find the slides of my talk on what I think is missing from AutoML to become AutoDS and support everyday tasks for data scientists here
@automl_conf #automl23
github.com/amueller/talks_od…
12 Sep 2023
We are still not at the end of the day #AutoML23 @automl_conf, folks! @amuellerml is next up with a talk on “From AutoML to AutoDS”. Panel discussion will follow right after.
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14 Sep 2023
Amazing talk with so many insights on Bayesian Optimization at @Meta by @eytan. Great stuff on learning preference learning for multiple objectives beyond pareto frontiers arxiv.org/abs/2303.15746 @automl_conf #AutoML23
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14 Sep 2023
Happening right now at #AutoML23 @automl_conf: Panel on LLMs x AutoML and how the two can profit from each other. At @AIHannover we deem this a super interesting topic! If you are interested, I can recommend our recent paper on the matter: arxiv.org/abs/2306.08107
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14 Sep 2023
@eytan from @Meta starting of the second day of #AutoML23 @automl_conf with his talk on Beyond Loss Efficient Optimization of Living ML systems. Very much looking forward to this great talk!
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13 Sep 2023
The reproducibility reviews at #AutoML23 have set a milestone for future conferences. We received valuable feedback for our work. The whole @automl_conf conference is extremely well thought-through, big advantage of a young conference series. Hybrid format also works very well 🎉
13 Sep 2023
Reproducibility is one of our main goals. Thanks to Lennart for taking care of it
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13 Sep 2023
13 Sep 2023
Is domain adaptation ready for the use of automatic machine learning methods?
I’m presenting our paper “Better Practices for Domain Adaptation” in the @automl_conf in poster sessions today 16:00 and tomorrow 10:45, and giving a best paper talk today at 17:30!
#AutoML2023
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