NEURAL ARCHITECTURE SEARCH THROUGH A GRAPH SEARCH SPACE

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining neural network architectures. One of the methods includes receiving training data for training a task neural network to perform a particular machine learning task; and selecting, from a sp...

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Bibliographic Details
Main Authors Lascombes de Laroussilhe, Quentin, Jastrzebski, Stanislaw Kamil, Gesmundo, Andrea, Houlsby, Neil Matthew Tinmouth
Format Patent
LanguageEnglish
Published 24.03.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining neural network architectures. One of the methods includes receiving training data for training a task neural network to perform a particular machine learning task; and selecting, from a space of possible architectures, an architecture for the task neural network, wherein the space of possible architectures is represented as a graph of nodes connected by edges, each node in the graph representing a decision point in selecting the architecture and each edge in the graph representing an action.
Bibliography:Application Number: US201917418555