Eunsoo Shim

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 10 citations into it
• Model Architectures — 6 citations into it

Whom Eunsoo Shim trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Hugo Larochelle
5. Alex Graves
6. Ilya Sutskever
7. Dumitru Erhan
8. Yann LeCun
9. Ruslan Salakhutdinov
10. Diederik P. Kingma

Who trusts Eunsoo Shim overall

1. Vince D. Calhoun

Papers from Eunsoo Shim's perspective

Ordered by how strongly the researchers Eunsoo Shim 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia (2015) — 330 citations