Tyler B. Johnson

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 93 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tyler B. Johnson trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Michael W. Mahoney
  4. Yann LeCun
  5. Yoshua Bengio
  6. Kaiming He
  7. Sergey Ioffe
  8. Siddharth Gopal
  9. Jerome H. Friedman
  10. Ilya Sutskever

Who trusts Tyler B. Johnson overall

  1. Virginia Smith
  2. Jaehong Yoon
  3. Simone Forte
  4. Martin Jaggi
  5. Michael I. Jordan
  6. Divyam Madaan
  7. Dmytro Perekrestenko
  8. Eunho Yang

Papers from Tyler B. Johnson's perspective

Ordered by how strongly the researchers Tyler B. Johnson 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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