Alexander J. Ratner

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 23 papers; trusts 441 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander J. Ratner trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Yann LeCun
  7. R. Caruana
  8. Stephen H. Bach
  9. Ilya Sutskever
  10. Christopher R'e

Who trusts Alexander J. Ratner overall

  1. Christopher R'e
  2. Braden Hancock
  3. Paroma Varma
  4. Sen Wu
  5. Ekin Dogus Cubuk
  6. Vincent S. Chen
  7. Gabriel Recchia
  8. Stephen H. Bach
  9. Benedikt Boecking
  10. Jieyu Zhang

Papers from Alexander J. Ratner's perspective

Ordered by how strongly the researchers Alexander J. Ratner trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers