Human-level concept learning through probabilistic program induction

Citation edge evidence

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• Neural Architecture Search with Reinforcement Learning→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
• Generalizing from a Few Examples→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
• Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
• Relational inductive biases, deep learning, and graph networks→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
• Relational Knowledge Distillation→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
• Hybrid computing using a neural network with dynamic external memory→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→An overview of statistical learning theoryLegacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→A Bayesian Analysis of Some Nonparametric ProblemsLegacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→Probabilistic machine learning and artificial intelligenceLegacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→A Constructive Definition of Dirichlet PriorsLegacy edge — source detail unavailable
• Probabilistic machine learning and artificial intelligence→A Bayesian Analysis of Some Nonparametric ProblemsLegacy edge — source detail unavailable
• Probabilistic machine learning and artificial intelligence→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Neural Architecture Search with Reinforcement Learning→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Relational inductive biases, deep learning, and graph networks→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
• Relational inductive biases, deep learning, and graph networks→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Relational inductive biases, deep learning, and graph networks→Hybrid computing using a neural network with dynamic external memoryLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Hybrid computing using a neural network with dynamic external memoryLegacy edge — source detail unavailable