Every university should have a dedicated Machine Learning department. The field will continue to become a pillar of human knowledge almost as fundamental as mathematics.
@reza_zadeh
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Detecting Out-of-Distribution Data: Impossibility and Learnability Theorems
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Outstanding paper at #NeurIPS22 main idea: is it possible to figure out when test data is coming from classes unknown during training? First they prove an impossibility theorem, then give positive/constructive results to characterize learnability of OOD. https://
openreview.net/pdf?id=sde_7Zz
GXOE
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Comics in AI Training Sets: A Poetic Cycle
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There's something poetic about knowing this comic will be used in a training set for generating more comics.
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Deep Learning’s Future: A 2009 NeurIPS Prediction Recalled
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13 years ago at Neurips 2009, 3 years before AlexNet, a young student @ilyasut explaining to my dinner table why Deep Learning is gonna be the future.
Looking forward to #NeurIPS2022. -
Future perspectives on polynomial models in physics
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Some day humans will find it so quaint that polynomials were our best models of Physics
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Standardized Testing Fails to Differentiate Among Thousands of Students
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There is a failure of standardized testing as it cannot distinguish between 10,000+ students. The SAT and GRE are too easy, especially the math sections.