Jiaman Li

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaman Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. David Kristjanson Duvenaud
  4. Ruslan Salakhutdinov
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Michalis K. Titsias
  10. Radford M. Neal

Papers from Jiaman Li's perspective

Ordered by how strongly the researchers Jiaman Li 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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