Hirokazu Anai

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 Hirokazu Anai trusts

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

1. Karsten M. Borgwardt (in Graph Learning)

Papers from Hirokazu Anai's perspective

Ordered by how strongly the researchers Hirokazu Anai 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. Tensor Decompositions and Applications
6. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
7. Shortest-path kernels on graphs
8. Marginalized Kernels Between Labeled Graphs
9. Efficient graphlet kernels for large graph comparison
10. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier

Their papers

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