Kun Kuang

Artificial Intelligence · with Cui · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kun Kuang trusts overall

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

  1. Yoshua Bengio
  2. José R. Zubizarreta
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Paul R. Rosenbaum
  6. Donald B. Rubin
  7. Jan Peters
  8. Alex Krizhevsky
  9. Susan Athey
  10. Yann LeCun

Who trusts Kun Kuang overall

  1. Ruocheng Guo
  2. Liuyi Yao
  3. Xiang Wang

Papers from Kun Kuang's perspective

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

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

Their papers