Alexander R. Trott

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 161 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander R. Trott trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard S. Sutton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Sergey Levine
  6. John Schulman
  7. Alex Krizhevsky
  8. Alex Graves
  9. J. Urgen Schmidhuber
  10. Yann LeCun

Who trusts Alexander R. Trott overall

  1. Víctor Campos
  2. Caiming Xiong
  3. Youngmin Oh
  4. Lorenzo Steccanella

Papers from Alexander R. Trott's perspective

Ordered by how strongly the researchers Alexander R. Trott 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers