Injung Kim

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 182 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Injung Kim trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Ross B. Girshick
  10. Jimmy Ba

Papers from Injung Kim's perspective

Ordered by how strongly the researchers Injung Kim 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. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers