Jacob Russin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Russin trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Dzmitry Bahdanau
  6. Brenden M. Lake
  7. Jimmy Ba
  8. Marco Baroni
  9. Jacob Andreas
  10. Oriol Vinyals

Who trusts Jacob Russin overall

  1. Brenden M. Lake
  2. Ekin Akyürek
  3. Peter Shaw
  4. Jacob Andreas
  5. Maxwell Nye
  6. Xinyun Chen
  7. Laura Ruis
  8. Daniel Keysers
  9. Afra Feyza Akyürek
  10. Ming-Wei Chang

Papers from Jacob Russin's perspective

Ordered by how strongly the researchers Jacob Russin 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers