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Daniel Lowd
@dlowd
Machine learning; probabilistic, adversarial, and relational models. Spouse of scifi/furry writer @Ryffnah. he/him sigmoid.social/@lowd
Eugene, OR
Joined April 2009
Posts
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    Dear Reviewers: Don't reject because we made it look easy. Making it look easy is hard work. Don't reject because our solution is simple. Simple solutions often have the most impact. Don't reject because you can imagine additional experiments. There's a page limit.
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    I just had to email my 16-year-old's teacher to explain that he did not use AI for an assignment. (I watched him complete it!) I also included multiple references for why no one should be using AI detectors in education. TurnItIn is making $$$$ by lying to schools.
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    Machine learning (ML) is a subfield of AI dedicated to the study of MNIST, CIFAR, and ImageNet.
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    No, you don’t have to work ridiculous hours to do meaningful work in AI, and it’s harmful to normalize the idea that long hours are necessary. I’m really disappointed to see OpenAI endorsing such exclusionary practices.
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    I would like to publicly disavow and distance myself from these comments by my PhD advisor and collaborator. I have worked with Pedro on a number of projects, and I respect his insight in some areas, but his rhetoric here is both false and harmful.
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    TFW your former PhD advisor compares you to Stalin and then complains about internet bullies.
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    Neural networks really hate it when you anthropomorphize them.
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    Can you remove training data from a random forest? ...without retraining from scratch? …and still obtain exactly the same model? …and do it efficiently? Our upcoming ICML 2021 paper shows that the answer is YES! 🧵
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    Dolphins achieve super-human swimming ability in < 24 hours! It's just a matter of time before they surpass humans in every task. #DolphinZero
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    I'd like to introduce CP-GAN, an amazing new method for generating realistic images! CP-GAN source code: cp -r training-data/ GAN-output/
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    Update: After watching Pedro dig his hole deeper and deeper, I no longer respect his insight in any area.
    I would like to publicly disavow and distance myself from these comments by my PhD advisor and collaborator. I have worked with Pedro on a number of projects, and I respect his insight in some areas, but his rhetoric here is both false and harmful.
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    Who called it “one-shot learning” and not “datum science”?
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    Deep learning revolutionizes everything! For example, before deep learning we had double-blind peer review. Now we have arXiv + tweetstorms.
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    “On the Dangers of Stochastic Carrots 🥕 : Can Vegetables Be Too Big?”