Elliot Creager

Artificial Intelligence · with Chang · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Elliot Creager trusts overall

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

  1. Yarin Gal
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Andrea Vedaldi
  10. Yann LeCun

Who trusts Elliot Creager overall

  1. Javier Antorán Cabiscol
  2. Yash Goyal
  3. Ian Covert
  4. Chih-Kuan Yeh
  5. Javier Antorán
  6. Matthew R. O'Shaughnessy

Papers from Elliot Creager's perspective

Ordered by how strongly the researchers Elliot Creager 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers