Yuta Saito

Web Search and Data Mining · 2019

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

Whom Yuta Saito trusts overall

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

1. Donald B. Rubin
2. Christopher C. Johnson
3. Paul R. Rosenbaum
4. Ruslan Salakhutdinov
5. Yehuda Koren
6. Thorsten Joachims
7. Yi-Hsun Su
8. Alexandre Gilotte
9. Takuya Akiba
10. Andriy Mnih

Papers from Yuta Saito's perspective

Ordered by how strongly the researchers Yuta Saito 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback (2019) — 322 citations