Chris J. Thornton

Artificial Intelligence · 2012–2017

A researcher in the Science corpus: 4 papers; trusts 41 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Chris J. Thornton trusts overall

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

  1. Alex Krizhevsky
  2. Frank Hutter
  3. James Bergstra
  4. Holger H. Hoos
  5. Ron Kohavi
  6. Yoshua Bengio
  7. Kevin Leyton-Brown
  8. Jasper Snoek
  9. W. Hoeffding
  10. Geoffrey E. Hinton

Who trusts Chris J. Thornton overall

  1. Matthias Feurer
  2. Frank Hutter
  3. Katharina Eggensperger
  4. Martin Wistuba
  5. Marc-André Zöller
  6. Haifeng Jin
  7. Holger H. Hoos
  8. Bernd Bischl
  9. Nicolas Schilling
  10. Gang Luo

Papers from Chris J. Thornton's perspective

Ordered by how strongly the researchers Chris J. Thornton 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers