Thomas McGrath

Artificial Intelligence · with Hassabis · 2021

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 Thomas McGrath trusts overall

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

  1. David Alvarez-Melis
  2. Geoffrey E. Hinton
  3. Been Kim
  4. Tommi S. Jaakkola
  5. Yoshua Bengio
  6. L. V. D. van der Maaten
  7. Kaiming He
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Daniel D. Lee

Who trusts Thomas McGrath overall

  1. Leonard Bereska
  2. Efstratios Gavves
  3. Richard Ngo

Papers from Thomas McGrath's perspective

Ordered by how strongly the researchers Thomas McGrath 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers