Eunyee Koh

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Statistical and Nonlinear Physics — 32 citations into it
• Graph Learning — 27 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Molecular Biology — 19 citations into it
• Representation & Self-Supervised Learning — 18 citations into it

Whom Eunyee Koh trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Bryan Perozzi
5. Aditya Grover
6. Jure Leskovec
7. Tomas Mikolov

Papers from Eunyee Koh's perspective

Ordered by how strongly the researchers Eunyee Koh 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Efficient Estimation of Word Representations in Vector Space
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Attention Models in Graphs (2018) — 175 citations
• Continuous-Time Dynamic Network Embeddings (2018) — 646 citations