Ke Yang

Artificial Intelligence · with Dean · 2001–2013

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Yang trusts overall

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

  1. Geoffrey E. Hinton
  2. Kamal Nigam
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Xiaojin Zhu

Who trusts Ke Yang overall

  1. Kilian Q. Weinberger
  2. Minmin Chen
  3. L. V. D. van der Maaten
  4. Heiga Zen
  5. Ruslan Salakhutdinov
  6. Tara N. Sainath
  7. Yoshua Bengio
  8. Li Deng
  9. Rahaf Aljundi
  10. Quoc V. Le

Papers from Ke Yang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet: A large-scale hierarchical image database
  4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  5. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Training Products of Experts by Minimizing Contrastive Divergence

Their papers