Taeshik Shon

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #12,168 of 35,345 by trust here, #22,463 by citations

Whom Taeshik Shon trusts overall

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

1. Vladimir Naumovich Vapni
2. Thorsten Joachims
3. Teuvo Kohonen
4. Bernhard Schölkopf
5. Susan T. Dumais
6. Andrew H. Sung
7. Wenke Lee
8. Christopher G. Atkeson
9. Eleazar Eskin
10. Andrew W. Moore

Who trusts Taeshik Shon overall

1. Anna L. Buczak
2. Chih-Fong Tsai
3. Wei‐Chao Lin
4. Yisroel Mirsky
5. Raouf Boutaba
6. Erhan Guven
7. Tomer Doitshman
8. Shih-Wen Ke
9. Yu-Feng Hsu
10. Mohammad Ali Salahuddin

Papers from Taeshik Shon's perspective

Ordered by how strongly the researchers Taeshik Shon 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. The Nature of Statistical Learning Theory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A hybrid machine learning approach to network anomaly detection (2007) — 467 citations