Dwight Crow

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Dwight Crow trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. J. Urgen Schmidhuber
  5. Alex Graves
  6. Richard S. Sutton
  7. Ilya Sutskever
  8. Tom Schaul
  9. Andrew Y. Ng
  10. Longxin Lin

Who trusts Dwight Crow overall

  1. Sergey Levine
  2. Michael Janner
  3. Pieter Abbeel
  4. Corey Lynch
  5. Benjamin Eysenbach
  6. Cédric Colas
  7. Dibya Ghosh
  8. Chelsea Finn
  9. Abhishek Gupta
  10. Vitchyr H. Pong

Papers from Dwight Crow's perspective

Ordered by how strongly the researchers Dwight Crow 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. 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