Gábi Kadlecová
@Gabuinml
Followers
96
Following
2K
Media
13
Statuses
191
Základní pravidlo sociálních sítí: NIKDY NEKOMENTUJ POUZE TITULEK NEBO CITÁT!! Pokud si ODBORNÝ rozhovor neposlechneš celý, nekomentuj ho! Samozřejmě to občas porušuju také, ale tento rozhovor s panem Mikolovem opravdu NENÍ útokem na "studium žab v Amazonii", ale na diletantský
🎙️| „Měli bychom se zamyslet, proč vlastně na vědu posíláme peníze z našich daní – jestli chceme sponzorovat nějaké autisty studující žáby v Amazonii, nebo chceme, aby se stala součástí ekonomiky a generovala peníze, jako tomu je v zahraničí,“ zamýšlí se Tomáš Mikolov ve velkém
32
9
243
Reposting to increase the proba that it gets in the right X bubble!
Seeking firsthand experiences with #ProtonTherapy for unresectable, metastatic, g2 conv #Chondrosarcoma. Any insights on its use with chemo/immunotherapy (pazopanib + checkpoint inh) & side effects (lymphopenia, neutropenia)? Grateful for any input—please share! Thanks #EndCancer
0
0
0
This week @Gabuinml will talk about her latest work on performance prediction for neural architecture search!Thursday 1pm CET
0
3
2
What a great pleasure it was to host the @automl_conf here in Paris this week. Big shoutout to all co-organizers and in particular to the amazing @ElenaRaponi_ @anjajankovic Simon Provost and to the online chairs Gabi Kadlecová and @AndreBiedenkapp See you in NYC next year 😃
0
8
27
In less than a month, the AutoML Conference 2024 will be in Paris. I don't think that we can quite compete with the #Olympics, but we will give our best ;-)
1
4
10
As a bonus, we showed that some zero-cost proxies are not as great as we thought 🙂 Excited to discuss the work in Vienna! 4/4
0
0
3
In Neural architecture search, performance predictors can be quite complex models, e.g. graph neural networks, and are rarely interpretable. We showed that when using graph features (such as path lengths), you get interpretable predictions and outperform the complex models 🎯 3/4
1
0
4
The paper is the result of my amazing internship at the AutoML Lab in Freiburg, and collaboration with my great coauthors @jovita_lukasik @PetraVidnerova Martin Pilat, Roman Neruda, @mahmoudsafari0 and @FrankRHutter. (credit to Jovita for the cool picture!) 2/4
1
0
3
I’m excited to present you my first paper accepted to a major ML conference - “Surprisingly Strong Performance Prediction with Neural Graph Features” at @ICML 🎉 Blog post: https://t.co/eLvEPxX4Sl Full paper: https://t.co/AurhheEpru 1/4
2
3
17
📢Fully funded PhD position for double-degree at Sorbonne University and Uni of St Andrews, supervised by Nguyen Dang @ndangtt and I topic: using (deep) reinforcement learning for controlling black-box optimization algorithms ℹ️ https://t.co/P0VeinOb9X
@StAndrewsCS @LIP6_lab
1
13
24
Separate workspace per research project - a PhD student's dream! Thanks, Vivaldi, for instantly boosting my productivity🔥🙌 #VivaldiBrowser
Workspaces🔥 Organize your browser into different workspaces, just like you organize the different rooms in your home. 🏡 Focus on a single project at a time by grouping tabs in one place. Each workspace holds all the #tabs related to a given task or category. Feel at home 🎉
1
3
9
After three days of attending the #AutoML_Conf in Baltimore @JohnsHopkins, I am left with a thousand new ideas, new friends, and new perspectives on current challenges in the field of AutoML. I can't wait for next year's conference!
0
5
8
I refactored the PyTorch implementation of NAS-Bench-101 training by @HongRomulus into a package installable using pip. If you need to train the nets, but don't want to use TensorFlow, check it out: https://t.co/DvaZNwATjS
#AutoML
0
0
2
I am doing a project about elderly programmers. If you are a programmer and over 25 please DM
1K
2K
25K
Pokud se podle někoho svazek dvou lidí stejného pohlaví nesmí jmenovat manželství, protože to je etymologicky špatně, jsem okamžitě pro zákaz horníků, protože ti rozhodně nemůžou z etymologického hlediska pracovat v dole! :)
28
87
988
Nevím, kdo systém [pro rezervaci na očkování proti COVID-19] vyvíjel a testoval, ale jen během první hodiny jsem narazil na následující problémy, píše v diskusi na Lupě @zajdee
https://t.co/IORag2zTRA
37
171
569
A jak je to správně
Tuhle definici čísla R bude dobré si opakovat. Kontext @ZdravkoOnline Blatný dnes ve Sněmovně: ”Pokud budeme mít 1000 nakažených a reprodukční číslo 1,5, potom se zvýší počet na 1500. Takže jenom o 500. Pokud bude milion nakažených a R jenom 1,1, dojde ke zvýšení o 100 000.”
0
0
0