John C. Mitchell

Artificial Intelligence · 2000–2014

A researcher in the Science corpus: 15 papers; trusts 27 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom John C. Mitchell trusts overall

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

  1. Ninghui Li
  2. Trevor Jim
  3. John DeTreville
  4. William H. Winsborough
  5. David G. Lowe
  6. Yann LeCun
  7. Jeff Yan
  8. Philippe Golle
  9. John F. Canny
  10. Christopher Evans

Who trusts John C. Mitchell overall

  1. Ninghui Li
  2. Arjun Narayan
  3. Mary Anne Smart
  4. John Aycock
  5. Michael Backes
  6. Marius Kempe
  7. Claus Hagen
  8. Tuan Anh Le
  9. Adam Barth
  10. Kobbi Nissim

Papers from John C. Mitchell's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. A Fast Learning Algorithm for Deep Belief Nets
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers