Bong-Jin Lee

Artificial Intelligence · with Chung · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bong-Jin Lee trusts overall

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

  1. Joon Son Chung
  2. David Snyder
  3. Kaiming He
  4. Andrew Zisserman
  5. Sergey Ioffe
  6. Dmitry Ulyanov
  7. Weicheng Cai
  8. Koji Okabe
  9. Diederik P. Kingma
  10. Andrea Vedaldi

Who trusts Bong-Jin Lee overall

  1. Edresson Casanova

Papers from Bong-Jin Lee's perspective

Ordered by how strongly the researchers Bong-Jin Lee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers