Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice
Neural Information Processing Systems
AI systems need exact descriptions of tasks to be performed.
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Deep Learning Through AT elescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond Alan Jeffares
Neural Information Processing Systems
Deep learning sometimes appears to work in unexpected ways.
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