Jaesung Huh

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 197 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jaesung Huh trusts overall

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

  1. Joon Son Chung
  2. Andrew Zisserman
  3. Sergey Ioffe
  4. David Snyder
  5. Arsha Nagrani
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Kaiming He
  10. Karen Simonyan

Who trusts Jaesung Huh overall

  1. Hervé Bredin
  2. Edresson Casanova
  3. Hee-Soo Heo
  4. Alexis Plaquet
  5. Joon Son Chung
  6. Bong-Jin Lee

Papers from Jaesung Huh's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers