Jongsub Moon

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

Whom Jongsub Moon 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 Jongsub Moon overall

  1. Anna L. Buczak
  2. Chih-Fong Tsai
  3. Wei‐Chao Lin
  4. Yisroel Mirsky
  5. Raouf Boutaba
  6. Erhan Guven

Papers from Jongsub Moon's perspective

Ordered by how strongly the researchers Jongsub Moon trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Advances in kernel methods: support vector learning
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers