Juan Benet, Ross Hanson, Yan Babitski, AJ Englehardt, Alvin Khaled, Eduardo Barraza, Hitoshi Yamauchi, Jaewon Jung, ....
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▭▭ Timestamps ▭▭▭▭▭▭▭▭▭▭▭ 00:00 Introduction 02:31 Paper explanation 03:34 The math / formula 08:35 LIME in ....
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In this video, Miles Cranmer discusses a method for converting a neural network into an analytic equation using a particular set of ....
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Sparse regression is an important topic in data science and machine learning that allows one to build models with as few ....
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Robust Interpretable Robust Interpretable Statistical Models
▭▭ Timestamps ▭▭▭▭▭▭▭▭▭▭▭ 00:00 Introduction 01:22 Dataset for this series 07:32 Logistic Regression 13:47 ....
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dreamcoder #programsynthesis #symbolicreasoning Classic Machine Learning struggles with few-shot generalization for tasks ....
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DreamCoder Growing DreamCoder Growing generalizable interpretable
This is a step by step tutorial with python code that explains the details behind .
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Science and engineering are inseparable. Our researchers reflect on the close relationship between scientific and engineering ....
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A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ....
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Machine Learning Paper Club (Dec 3, 2020).
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Can we explain how machine learning models make decisions? And what does it mean to explain a model anyway? Twitter ....
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SINDy-RL: .
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Solving AI Doomerism: Anthropic's Research On AI Mechanistic .
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GANSpace is a technique for discovering .
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Professor Hima Lakkaraju presents some of the latest advancements in machine learning models that are inherently .
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Christoph Molnar is one of the main people to know in the space of .
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Welcome to Binnie's channel! Kolmogorov–Arnold Networks (KAN Network) is .
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Organizers: Bolei Zhou Laurens van der Maaten Been Kim Andrea Vedaldi Description: Complex machine learning models such ....
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Neel Nanda from DeepMind presenting 'Mechanistic .
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