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Found 3 papers, 1 papers with code
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
Geometric Deep Learning has recently attracted significant interest in a wide range of machine learning fields, including document analysis.
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Contextual Decision Trees
Focusing on Random Forests, we propose a multi-armed contextual bandit recommendation framework for feature-based selection of a single shallow tree of the learned ensemble.
A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization
Batch Normalization is an essential component of all state-of-the-art neural networks architectures.
