James Babcock

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom James Babcock trusts overall

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

  1. J. Urgen Schmidhuber
  2. Christian Szegedy
  3. Anh Totti Nguyen
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Alex Graves
  7. Yoshua Bengio
  8. Richard S. Sutton
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts James Babcock overall

  1. Tom Everitt
  2. Ben Goertzel
  3. José Hernandez-Orallo
  4. Eliezer Yudkowsky
  5. Ryan Carey
  6. Laurent Orseau

Papers from James Babcock's perspective

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

Their papers