Hyebin Lee

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #28,314 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #17,377 of 21,575 by trust here, #19,310 by citations

Whom Hyebin Lee trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Chin-Yew Lin
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Jia Deng
8. Kaiming He
9. Jimmy Ba
10. Ramakrishna Vedantam

Who trusts Hyebin Lee overall

1. Amitojdeep Singh
2. Sourya Sengupta
3. Erico Tjoa

Papers from Hyebin Lee's perspective

Ordered by how strongly the researchers Hyebin Lee 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis (2019) — 44 citations