Matthew D. Luciw

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 7 papers; trusts 45 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew D. Luciw trusts overall

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

  1. J. Urgen Schmidhuber
  2. Richard S. Sutton
  3. Geoffrey E. Hinton
  4. Terence D. Sanger
  5. Michail G. Lagoudakis
  6. Daan Wierstra
  7. Erkki Oja
  8. Peter S. Dayan
  9. Andrew Barto
  10. Paul J. Werbos

Who trusts Matthew D. Luciw overall

  1. J. Urgen Schmidhuber
  2. Jan Koutník
  3. Gianluca Baldassarre
  4. Yoshua Bengio
  5. Adrien Baranes
  6. Sergey Levine
  7. J. Krichmar
  8. Pierre-Yves Oudeyer
  9. Quoc V. Le
  10. Trevor Darrell

Papers from Matthew D. Luciw's perspective

Ordered by how strongly the researchers Matthew D. Luciw 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Reinforcement Learning: An Introduction
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers