Bryan Wilder

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Bryan Wilder trusts overall

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

  1. Brandon Amos
  2. J. Kolter
  3. George Karypis
  4. Priya Lekha Donti
  5. Rakesh Agrawal
  6. Gruia Calinescu
  7. Yann LeCun
  8. Dimitris J. Bertsimas
  9. Geoffrey E. Hinton
  10. Vipin Kumar

Who trusts Bryan Wilder overall

  1. Adam N. Elmachtoub
  2. Joseph D. Futoma
  3. Jason Cheuk Nam Liang
  4. Michael C. Hughes

Papers from Bryan Wilder's perspective

Ordered by how strongly the researchers Bryan Wilder 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers