Nina Sumiko Tomita Hirata

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Representation & Self-Supervised Learning — 32 citations into it
• Artificial Intelligence — 27 citations into it
• Computational Mechanics — 9 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Signal Processing — 6 citations into it
• Statistics and Probability — 5 citations into it

Whom Nina Sumiko Tomita Hirata trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. L. V. D. van der Maaten
4. Yoshua Bengio
5. Radford M. Neal
6. Ian T. Jolliffe
7. Sam T. Roweis
8. Diederik P. Kingma
9. Leland McInnes
10. Yann LeCun

Papers from Nina Sumiko Tomita Hirata's perspective

Ordered by how strongly the researchers Nina Sumiko Tomita Hirata 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Toward a Quantitative Survey of Dimension Reduction Techniques (2019) — 346 citations
• Deep learning multidimensional projections (2019) — 78 citations