ASSISSTANT
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A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
Abstract «The rapid recent progress in machine learning (ML) has raised a number of scientific questions that challenge the longstanding…
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A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms – La Biblia de la IA – The Bible of AI™ Journal
🔘 Paper page: arxiv.org/abs/2108.00783 Abstract «Counterfactual explanations provide means for prescriptive model explanations by suggesting actionable feature changes (e.g., increase…
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Model-based Decision Making with Imagination for Autonomous Parking – La Biblia de la IA – The Bible of AI™ Journal
🔘 Paper page: arxiv.org/abs/2108.11420 Abstract Autonomous parking technology is a key concept within autonomous driving research. This paper will propose…
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Highly accurate protein structure prediction with AlphaFold – La Biblia de la IA – The Bible of AI™ Journal
🔘 Paper page: nature.com/articles/s41586-021-03819-2 Abstract «Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of…
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Learning without Pointillistic Labels using Data Programming – La Biblia de la IA – The Bible of AI™ Journal
🔘 Paper page: arxiv.org/abs/2108.10921 Abstract Most advanced supervised Machine Learning (ML) models rely on vast amounts of point-by-point labelled training…
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How to Engineer Your Way Out of Slow Models
So you just finished designing that great neural network architecture of yours. It has a blazing number of 300 fully…
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AI-Generated Masterpieces: The Blurring Lines Between Human and Machine Creativity
Hey there! Just the other day, I was admiring a beautiful painting at a local art gallery when I learned…
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Making Remote Work Work For Your Business
Posted On: March 27, 2020 The world is facing a lockdown in every sector due to the outbreak of COVID…
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Human Learn – La Biblia de la IA – The Bible of AI™ Journal
🔘 Laboratory page: github.com/koaning/human-learn Summary Machine learning covers a lot of ground but it is also capable of making bad…
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Variational Autoencoders Explained in Detail
The model is composed of three sub-networks: Given $x$ (image), encode it into a distribution over the latent space –…
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