Yi Pan

Computer Vision and Pattern Recognition · with Zhang · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Pan trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Jerome H. Friedman
  7. Jeffrey L. Elman
  8. Alex Krizhevsky
  9. Dzmitry Bahdanau
  10. Charles C. Holt

Papers from Yi Pan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers