Maxwell P. Henderson

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maxwell P. Henderson trusts overall

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

  1. Scott Aaronson
  2. Simon S. Haykin
  3. Marc'Aurelio Ranzato
  4. Bart Kosko
  5. Yann LeCun
  6. Fu Jie Huang

Who trusts Maxwell P. Henderson overall

  1. Tak Hur
  2. L. Kim

Papers from Maxwell P. Henderson's perspective

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

  1. GradientBased Learning Applied to Document Recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers