Peter Chin

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Chin trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Richard Socher
  4. Dzmitry Bahdanau
  5. Jacob Devlin
  6. Diederik P. Kingma
  7. Christopher D. Manning
  8. Ilya Sutskever
  9. Hwee Tou Ng
  10. Alex Krizhevsky

Who trusts Peter Chin overall

  1. Wasi Uddin Ahmad

Papers from Peter Chin's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers