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1.How Neural Networks Extrapolate: From Feedforward to Graph …
- Author: How
- Publish: 30 days ago
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Rating: 2
(1903 Rating)
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- Source : https://arxiv.org/abs/2009.11848
2.How Neural Networks Extrapolate: From Feedforward … – OpenReview
- Author: How
- Publish: 23 days ago
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Rating: 4
(244 Rating)
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Highest rating: 3
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Lowest rating: 2
- Descriptions: We study how neural networks trained by gradient descent extrapolate, i.e., what they learn outside the support of the training distribution.
- More : We study how neural networks trained by gradient descent extrapolate, i.e., what they learn outside the support of the training distribution.
- Source : https://openreview.net/forum%3Fid%3DUH-cmocLJC
3.[PDF] FROM FEEDFORWARD TO GRAPH NEURAL NETWORKS
- Author: [PDF]
- Publish: 23 days ago
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Rating: 4
(644 Rating)
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Highest rating: 3
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Lowest rating: 3
- Descriptions: We study how neural networks trained by gradient descent extrapolate, i.e., what they learn outside the support of the training distribution.
- More : We study how neural networks trained by gradient descent extrapolate, i.e., what they learn outside the support of the training distribution.
- Source : https://openreview.net/pdf%3Fid%3DUH-cmocLJC
4.How Neural Networks Extrapolate: From Feedforward to … – Papertalk
- Author: How
- Publish: 9 days ago
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Rating: 2
(1820 Rating)
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Highest rating: 5
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Lowest rating: 2
- Descriptions: Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks.
- More : Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks.
- Source : https://papertalk.org/papertalks/29183
5.[PDF] FROM FEEDFORWARD TO GRAPH NEURAL NETWORKS
- Author: [PDF]
- Publish: 27 days ago
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Rating: 4
(713 Rating)
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Highest rating: 4
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Lowest rating: 2
- Descriptions: We study how neural networks trained by gradient descent extrapolate, i.e., what they learn outside the support of the training distribution.
- More : We study how neural networks trained by gradient descent extrapolate, i.e., what they learn outside the support of the training distribution.
- Source : https://par.nsf.gov/servlets/purl/10277315
6.How Neural Networks Extrapolate: From … – CrossMind.ai
- Author: How
- Publish: 0 days ago
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Rating: 1
(585 Rating)
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- Source : https://crossminds.ai/video/how-neural-networks-extrapolate-from-feedforward-to-graph-neural-networks-60c3d35a6af07cfaf7325f4c/
7.jinglingli/nn-extrapolate – GitHub
- Author: jinglingli/nn-extrapolate
- Publish: 5 days ago
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Rating: 5
(961 Rating)
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Lowest rating: 1
- Descriptions: How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks … This repository is the PyTorch implementation of the experiments in the following …
- More : How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks … This repository is the PyTorch implementation of the experiments in the following …
- Source : https://github.com/jinglingli/nn-extrapolate
8.[PDF] Keyulu Xu MIT
- Author: [PDF]
- Publish: 13 days ago
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Rating: 5
(1522 Rating)
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Highest rating: 5
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Lowest rating: 1
- Descriptions: Graph Neural Networks (GNNs). (Gori et al. … feedforward network. Deep Set … Generalization analysis: interpolation and extrapolation.
- More : Graph Neural Networks (GNNs). (Gori et al. … feedforward network. Deep Set … Generalization analysis: interpolation and extrapolation.
- Source : https://people.csail.mit.edu/keyulux/pdf/extrapolate.pdf
9.How Neural Networks Extrapolate: From … – ResearchGate
- Author: How
- Publish: 22 days ago
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Rating: 1
(1507 Rating)
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- Source : https://www.researchgate.net/publication/344372908_How_Neural_Networks_Extrapolate_From_Feedforward_to_Graph_Neural_Networks
10.How Neural Networks Extrapolate: From Feedforward to Graph …
- Author: How
- Publish: 18 days ago
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Rating: 1
(1142 Rating)
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Highest rating: 4
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- Source : https://slideslive.com/38953582/how-neural-networks-extrapolate-from-feedforward-to-graph-neural-networks%3Fref%3Drecommended
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