Hierarchical learning : theory with applications in speech and vision

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Deep Learning: Methods and Applications (2014, background): “In a similar vein, the human visual system is also hierarchical in nature, mostly in the perception side but interestingly also in the “generation” side [43, 126, 287]).”
A tutorial survey of architectures, algorithms, and applications for deep learning (2014, background): “In a similar vein, human visual system is also hierarchical in nature, most in the perception side but interestingly also in the “generative” side (George, 2008; Bouvrie, 2009; Poggio, 2007).”
Backward Feature Correction: How Deep Learning Performs Deep Learning (2020, background): “Empirically, it has been discovered for a long time that hierarchical learning, in many applications, requires fewer training examples [11] when comparing to non-hierarchical learning methods that learn the target function in one shot.”