Kian Kenyon-Dean

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kian Kenyon-Dean trusts overall

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

  1. Yann LeCun
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Yen-Chang Hsu
  5. Geoffrey E. Hinton
  6. Yoon Kim
  7. Alex Krizhevsky
  8. Jimmy Ba
  9. Ruslan Salakhutdinov
  10. L. Eon Bottou

Papers from Kian Kenyon-Dean's perspective

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

Their papers