The community has grown so much that we no longer coalesce around a small handful of ideas. People now specialize more in verticals, and I felt less of the “core” coming together, which I miss.
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Bayesian methods and causality got a lot of buzz. I was excited about progress in self-supervised learning, while others were excited about federated learning, or using DL to predict biological sequences. Fascinating areas, but the AI community no longer marches in one direction.
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Sweet because: These are signs that NeurIPS is maturing.
@_KarenHao wrote an article about the community growing up: https://www.technologyreview.com/s/614935/ai-conference-neurips-power-responsibility/ … We’re getting better at diversity/inclusion and taking responsibility for our actions, though there’s still room to grow.Prikaži ovu nit -
I also spoke about the work still needed for ethical AI, and the importance of building an actionable ethical code. Ideally one written by the AI community, for the AI community. You can hear my remarks here at 1:15:20:https://slideslive.com/38922107/tackling-climate-change-with-ml-2 …
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It was fun speaking on the climate change panel with Yoshua Bengio,
@JeffDean, Carla Gomes, and Lester Mackey. Thanks@david_rolnick,@priyald17,@LynnHKaack, and others for organizing the great workshop.pic.twitter.com/GjFFGb0dsw
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Overall, a great conference. Congratulations and thanks to
@hannawallach,@hugo_larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Emily Fox,@jennwvaughan,@DaniCMBelg,@aliceoh and others for putting this together.Prikaži ovu nit
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A great side effect of the machine learning community maturing is that we're increasingly calling out fake use of the term "AI".
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It's about time they grow tf up! The latest technology ain't just using one library or search technique to build great products.
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Amanzing and very nice conclusion! I agree with the bittersweet feeling!
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It was a great workshop that shed light on the future of AI community that's growing by time!
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