Sangkyung Kwak

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sangkyung Kwak trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Pascal Vincent
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Christian Szegedy
  9. Jonathan Ho
  10. Ilya Sutskever

Who trusts Sangkyung Kwak overall

  1. Jingfeng Yao

Papers from Sangkyung Kwak's perspective

Ordered by how strongly the researchers Sangkyung Kwak 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. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers