Ian McGraw

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 11 papers; trusts 70 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Ian McGraw trusts overall

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

  1. Alex Graves
  2. Hasim Sak
  3. Brian Kingsbury
  4. Geoffrey E. Hinton
  5. Stanley F. Chen
  6. Tara N. Sainath
  7. James R. Glass
  8. Andrew W. Senior
  9. Yoshua Bengio
  10. Rohit Prabhavalkar

Who trusts Ian McGraw overall

  1. Chia-ying Lee
  2. Rohit Prabhavalkar
  3. Yucheng Low
  4. Tara N. Sainath
  5. Khe Chai Sim
  6. Yanzhang He
  7. Joseph E. Gonzalez
  8. Jinyu Li
  9. Franccoise Beaufays
  10. Dong Yu

Papers from Ian McGraw's perspective

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

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

Their papers