Mike Page

Model Architectures · 2000–2008

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mike Page trusts overall

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

  1. James L. McClelland
  2. Stephen Grossberg
  3. Randall C. O’Reilly
  4. Lawrence R. Rabiner
  5. David E. Rumelhart
  6. Mark S. Seidenberg
  7. John J. Hopfield
  8. Douglas L. Medin
  9. Noel E. Sharkey
  10. Gail A. Carpenter

Who trusts Mike Page overall

  1. Jeffrey S. Bowers
  2. Dharshan Kumaran
  3. James L. McClelland
  4. Bernard Ans
  5. Dennis Norris
  6. Colin J. Davis
  7. A.S. d'Avila Garcez
  8. David C. Plaut
  9. L. C. Lamb
  10. Stephane Rousset

Papers from Mike Page's perspective

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

  1. Learning internal representations by error propagation
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Neural networks and physical systems with emergent collective computational abilities.

Their papers