Keisuke Goto

Graph Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 8 citations into it

Whom Keisuke Goto trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Karsten M. Borgwardt (in Graph Learning)

Papers from Keisuke Goto's perspective

Ordered by how strongly the researchers Keisuke Goto trusts endorse each paper. Same corpus, a different order for every researcher.

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Dropout: a simple way to prevent neural networks from overfitting
3. Human-level concept learning through probabilistic program induction
4. Deep Sparse Rectifier Neural Networks
5. ImageNet classification with deep convolutional neural networks
6. Tensor Decompositions and Applications
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
9. Gradient-based learning applied to document recognition
10. Shortest-path kernels on graphs

Their papers

• Learning Multi-Way Relations via Tensor Decomposition With Neural Networks (2018) — 27 citations