Bongjun Ko

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Bongjun Ko trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Ashish Raniwala
  4. Richard Draves
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Kaiming He
  9. Andrew Zisserman
  10. L. Eon Bottou

Who trusts Bongjun Ko overall

  1. Umair Mohammad
  2. Mahesh K. Marina
  3. Samir R Das
  4. Anand Prabhu Subramanian

Papers from Bongjun Ko's perspective

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

Their papers