Self-born Wiring for Neural Trees. Neural trees aim at integrating deep neural networks and decision trees so as to bring the best of the two worlds, including representation learning from the former and faster inference from the latter.
In this paper, we introduced a novel approach, termed as Self-born Wiring, to automatically construct neural trees from a pre-defined deep neural network.
In this paper, we introduce a novel approach, termed as Self-born Wiring (SeBoW), to learn neural trees from a mother deep neural network.
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What is neural wiring?
What is a neural tree?
In this paper, we introduced a novel approach, termed as Self-born Wiring, to automatically construct neural trees from a pre-defined deep neural network.
In this section, we give a more detailed description of the training process of the proposed self-born wirings (SeBoW) for neural tree.
The paper is composed of generally two parts. The first part basically deals with the designing of clock distribution network for a branch-2 tree, also a wire ...
"Self-Born Wiring for Neural Trees", ICCV, 2021. Ying Chen et al. (NDTs that are self-born from a large search space); [Paper] [Code]. About. Introduction ...
This paper introduces a novel approach, termed as Self-born Wiring (SeBoW), to learn neural trees from a mother deep neural network, which outperforms all prior ...
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In this research, we introduce ViTree, a novel approach for fine-grained visual categorization that combines the popular vision transformer as a feature ...