Graph-RISE: Graph-Regularized Image Semantic Embedding

14 Feb 2019tensorflow/neural-structured-learning

Learning image representations to capture fine-grained semantics has been a challenging and important task enabling many applications such as image search and clustering.

IMAGE CLASSIFICATION IMAGE RETRIEVAL

Explaining and Harnessing Adversarial Examples

20 Dec 2014tensorflow/neural-structured-learning

Several machine learning models, including neural networks, consistently misclassify adversarial examples---inputs formed by applying small but intentionally worst-case perturbations to examples from the dataset, such that the perturbed input results in the model outputting an incorrect answer with high confidence.

IMAGE CLASSIFICATION

Semi-Supervised Classification with Graph Convolutional Networks

9 Sep 2016tensorflow/neural-structured-learning

We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs.

DOCUMENT CLASSIFICATION GRAPH CLASSIFICATION GRAPH REGRESSION NODE CLASSIFICATION

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