Koji Maruhashi

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 Koji Maruhashi trusts overall

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

1. Karsten M. Borgwardt
2. Nino Shervashidze
3. Sergey Ioffe
4. Tamara G. Kolda
5. Xavier Glorot
6. Geoffrey E. Hinton
7. Evrim Acar
8. Nitish Srivastava
9. Marco Tulio Ribeiro
10. Yoshua Bengio

Papers from Koji Maruhashi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

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