Yong Kiam Tan

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Kiam Tan trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yehuda Koren
  5. Ruslan Salakhutdinov
  6. Kaiming He
  7. Alex Graves
  8. Yoshua Bengio
  9. Andriy Mnih
  10. Ilya Sutskever

Who trusts Yong Kiam Tan overall

  1. Malte Ludewig
  2. Dietmar Jannach
  3. Xu Chen
  4. Balázs Hidasi
  5. Alexandros Karatzoglou
  6. Aminu Da’u
  7. Robin Devooght
  8. Tim Donkers
  9. Sotirios P. Chatzis
  10. Shoujin Wang

Papers from Yong Kiam Tan's perspective

Ordered by how strongly the researchers Yong Kiam Tan 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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