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Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance
[chapter]
2018
Lecture Notes in Computer Science
Individual neurons in convolutional neural networks supervised for image-level classification tasks have been shown to implicitly learn semantically meaningful concepts ranging from simple textures and shapes to whole or partial objects -forming a "dictionary" of concepts acquired through the learning process. In this work we introduce a simple, efficient zero-shot learning approach based on this observation. Our approach, which we call Neuron Importance-Aware Weight Transfer (NIWT), learns to
doi:10.1007/978-3-030-01261-8_32
fatcat:rlg7b3fh2vfonbqvc2wrmtztna