Will Feng

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Will Feng trusts overall

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

  1. Ilya Sutskever
  2. Jason Aaron Edward Weston
  3. Yoshua Bengio
  4. Antoine Bordes
  5. Geoffrey E. Hinton
  6. Oriol Vinyals
  7. Tomas Mikolov
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Alex Graves

Who trusts Will Feng overall

  1. Kurt Shuster
  2. Eric Michael Smith
  3. Jason Aaron Edward Weston
  4. Emily Dinan
  5. Y-Lan Boureau
  6. Stephen Roller
  7. Jing Xu
  8. Da Ju
  9. Kyunghyun Cho
  10. Ilia Kulikov

Papers from Will Feng's perspective

Ordered by how strongly the researchers Will Feng 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers