Mark P. Woodward

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 72 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Mark P. Woodward trusts overall

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

  1. J. Urgen Schmidhuber
  2. Richard S. Sutton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Graves
  6. Geoffrey E. Hinton
  7. Volodymyr Mnih
  8. Ben J. A. Kröse
  9. Andrew Barto
  10. Michael L. Littman

Who trusts Mark P. Woodward overall

  1. Philip Bachman
  2. Samuel Budd
  3. Tianhe Yu
  4. Alessandro Sordoni
  5. Emma Claire Robinson
  6. Xinyang Geng
  7. Yao-Hung Hubert Tsai
  8. Haonan Yu
  9. Shahbaz Rezaei
  10. Ruslan Salakhutdinov

Papers from Mark P. Woodward's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers