Ryan Hamerly

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Hamerly trusts overall

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

  1. David A. B. Miller
  2. Alireza Marandi
  3. Alexander N. Tait
  4. Alex Krizhevsky
  5. Vicky Siu-Ngan Choi
  6. Geoffrey E. Hinton
  7. Zhe Wang
  8. Richard M. Karp
  9. Ilya Sutskever
  10. Vivienne Sze

Who trusts Ryan Hamerly overall

  1. Peter Leonard McMahon

Papers from Ryan Hamerly's perspective

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

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

Their papers