D. Teng

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom D. Teng trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. David P. Woodruff
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. David Lopez-Paz
  7. Michael W. Mahoney
  8. Petros Drineas
  9. Yoshua Bengio
  10. Stefano Fusi

Who trusts D. Teng overall

  1. Tameem Adel
  2. Han Zhao
  3. Richard E. Turner

Papers from D. Teng's perspective

Ordered by how strongly the researchers D. Teng 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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