Ryan Leary

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 6 papers; trusts 50 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Leary trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Graves
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Kaiming He
  8. Ilya Sutskever
  9. Ilya Loshchilov
  10. Yann LeCun

Who trusts Ryan Leary overall

  1. Stanislav Beliaev
  2. Boris Ginsburg
  3. Isabela Granic
  4. Ramit Sawhney
  5. Sean MacAvaney

Papers from Ryan Leary's perspective

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

Their papers