Corey J. Chivers

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Corey J. Chivers trusts overall

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

  1. David Weisburd
  2. Thompson Hobbs
  3. Marzyeh Ghassemi
  4. Matthew D. Zeiler
  5. Peter F. Schulam
  6. Oliver Stegle
  7. Geoffrey E. Hinton
  8. Robert Dürichen

Who trusts Corey J. Chivers overall

  1. Chao Yu

Papers from Corey J. Chivers's perspective

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

Their papers