Yeeleng Scott Vang

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yeeleng Scott Vang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Morten Nielsen
  4. Massimo Andreatta
  5. Ilya Sutskever
  6. Tomas Mikolov
  7. L. V. D. van der Maaten
  8. Yann LeCun
  9. Steven Henikoff
  10. Yoshua Bengio

Who trusts Yeeleng Scott Vang overall

  1. Shutao Mei
  2. Wentao Zhu
  3. Fuyi Li

Papers from Yeeleng Scott Vang's perspective

Ordered by how strongly the researchers Yeeleng Scott Vang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  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