David Johnson @_davidsjohnson_

Human-Centric Explainable AI (HCXAI) Group CITEC, Bielefeld University https://t.co/ctPru8N3qT Joined November 2021

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Frank Hutter @FrankRHutter

9 months ago

The data science revolution is getting closer. TabPFN v2 is published in Nature: nature.com/articles/s4158… On tabular classification with up to 10k data points & 500 features, in 2.8s TabPFN on average outperforms all other methods, even when tuning them for up to 4 hours🧵1/19

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Felix 🇪🇺 @_aufgegleist

10 months ago

Wie pünktlich ist die Bahn wirklich? Das wollen @martiinhier und ich herausfinden, und deshalb haben wir vor einigen Wochen begonnen riesige 📈Datensätze für unsere eigene Statistik zu füllen. Das erste 🚀 Feature steht bereits: Ihr könnt nun jeden beliebigen Bahnhof tracken 👇

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ACII2024 @acii_conf

a year ago

An unforgettable night at the #ACII2024 banquet! 🎉 Delicious food, lively ceilidh dancing, and great company—everyone was having an amazing time celebrating together. 🍽️💃 The energy in the room was electric! #ACII2024Banquet

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François Chollet @fchollet

a year ago

It's amazing to me that the year is 2024 and some people still equate task-specific skill and intelligence. There is *no* specific task that cannot be solved *without* intelligence -- all you need a sufficiently complete description of the task (removing all test-time novelty and…

Max Tegmark @tegmark

a year ago

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Chomba Bupe @ChombaBupe

2 years ago

OpenAI goal is to build a world simulator - that learns the dynamics of the 3D real world - from videos & language descriptions. They claim the work indicates that training on ever larger datasets is a promising direction for learning such world models. But they are wrong:

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Jascha Sohl-Dickstein @jaschasd

2 years ago

Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.

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Holly Herndon @hollyherndon

2 years ago

It will be easier and easier to generate more and more realistic music with AI and it might not really matter

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Randall Munroe @xkcd

2 years ago

What If? is now on YouTube! Check out the first video for the answer to “What if we aimed the Hubble Telescope at Earth?” youtube.com/watch?v=2LSyiz…

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Cory Doctorow NONCONSENSUAL BLUE TICK @doctorow

2 years ago

The #OpenAI soap-opera hijacked the attention of millions of productive people and nonsensually crammed the fine details of the debate between #EffectiveAltruism and #EffectiveAccelerationism into them, a genuinely absurd debate that was allegedly at the center of the drama. 1/

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Research in Germany - Initiative of the BMFTR @ResearchGermany

2 years ago

📣 Postdocs and advanced researchers: come to Bayreuth with a Junior or Senior #Fellowship or Short Term Grant from the @unibt Centre of International Excellence “Alexander von Humboldt”! 📅 Apply here until 27 October or 4 November 👉🏼 ow.ly/brcp50PIERo #FundingFriday

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Jordan Harrod @JordanBHarrod

2 years ago

Here’s something I wish someone told me several months ago: Don’t try to keep up with the latest AI news/research/hype.

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Faculty of Technology Bielefeld @tf_unibielefeld

2 years ago

Licht ins Dunkel bringen mit Social-Online-Daten.💡 @HDrimalla und Team @tf_unibielefeld forschen an digitalen Methoden, um den Zusammenhang zwischen sozialen Interaktionen und mentaler Gesundheit besser zu verstehen. ☝️Hier geht es zur Studienteilnahme: tinyurl.com/KB258

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Valerie Chen @valeriechen_

2 years ago

We not only find that participants (N=271) using SHAP and BertSum were *significantly worse* than the control setting, where users are shown no additional info, but we also found that participants were overconfident in estimating the helpfulness of the assistive information!

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Joshua Loftus @joftius

2 years ago

My most highly cited research is a paper that uses causal models to give a mathematically precise definition for non-discrimination of computer algorithms For years, I've given talks about it using the US Supreme Court as an example... 🧵

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David Johnson @_davidsjohnson_

2 years ago

Despite strong calls for Explainable AI in the area of #affectivecomputing, its use is still in its infancy. In our new review @HDrimalla, Olya Hakobyan and I point to a limited variety of #xai methods and lack of evaluation. Check out our recommendations👉arxiv.org/abs/2306.08933

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Rachel Metz @rachelmetz

2 years ago

We talk a lot about how AI is biased but don’t often get to really see it in a meaningful way. This in-depth piece from @dinabass and @Leonardonclt is a fantastic way in to the ways in which generative AI (in this case @StabilityAI Stable Diffusion) is biased). Check it out!

Leonardo @Leonardonclt

2 years ago

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TRR 318 Constructing Explainability @trr_318

2 years ago

With the @EuADSorg #SummerSchool coming to a close, @FumagalliFabian, @_davidsjohnson_ , @DimitryMindlin, and @Muschalik_Max want to thank the organizer for a great research event and opportunity to connect with related researchers from all around Europe! 🇱🇺(MM)