Example: biology

Neural Information Processing Systems

Found 4 free book(s)
arXiv:1706.02216v4 [cs.SI] 10 Sep 2018

arXiv:1706.02216v4 [cs.SI] 10 Sep 2018

arxiv.org

31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA. arXiv:1706.02216v4 [cs.SI] 10 Sep 2018. Figure 1: Visual illustration of the GraphSAGE sample and aggregate approach. recognize structural properties of a node’s neighborhood that reveal both the node’s local role in the

  Information, System, Processing, Neural, Neural information processing systems, Graphsage

Non-Local Neural Networks

Non-Local Neural Networks

openaccess.thecvf.com

image processing (e.g., [12, 4]), has been largely overlooked in recent neural networks for computer vision. Video classification architectures. A natural solution to video classification is to combine the success of CNNs for images and RNNs for sequences [55, 11]. In contrast, feed-forward models are achieved by 3D convolutions (C3D)

  Processing, Neural

1 DeepLab: Semantic Image Segmentation with Deep ...

1 DeepLab: Semantic Image Segmentation with Deep ...

arxiv.org

rating richer information from context [45] and structured prediction techniques [22], [26], [27], [46], but the perfor-mance of these systems has always been compromised by the limited expressive power of the features. Over the past few years the breakthroughs of Deep Learning in image classification were quickly transferred to the semantic seg-

  Information, With, System, Image, Deep, Segmentation, Semantics, Deeplab, Semantic image segmentation with deep

Generative Adversarial Nets - NeurIPS

Generative Adversarial Nets - NeurIPS

proceedings.neurips.cc

generator network with a second neural network. Unlike generative adversarial networks, the sec-ond network in a VAE is a recognition model that performs approximate inference. GANs require differentiation through the visible units, and thus cannot model discrete data, while VAEs require

  Nets, Adversarial generative nets, Adversarial, Generative, Neural

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