Minseok Park

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #29,091 of 35,345 by trust here, #32,362 by citations

Whom Minseok Park trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. R. Olson
5. Sinno Jialin Pan
6. Ilya Sutskever
7. Nitish Srivastava
8. Andrew Zisserman
9. L. V. D. van der Maaten
10. H. Sosik

Who trusts Minseok Park overall

1. Yuzhe Yang
2. Lixu Wang

Papers from Minseok Park's perspective

Ordered by how strongly the researchers Minseok Park 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning (2016) — 197 citations