Mark A. Kramer

Model Architectures · 1991–2015

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mark A. Kramer trusts overall

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

  1. Paul J. Werbos
  2. Dana H. Ballard
  3. Terence D. Sanger
  4. David E. Rumelhart
  5. Geoffrey E. Hinton
  6. Scott E. Fahlman
  7. George V. Cybenko
  8. Ronald J. Williams
  9. David H. Ackley
  10. Pierre Baldi

Who trusts Mark A. Kramer overall

  1. S. Qin
  2. John Aldo Lee
  3. Baback Moghaddam
  4. Gaetan Kerschen
  5. I. Fodor
  6. Sepp Hochreiter
  7. J. Urgen Schmidhuber
  8. Xiaogang Wang
  9. Michel Verleysen
  10. Florian Strub

Papers from Mark A. Kramer's perspective

Ordered by how strongly the researchers Mark A. Kramer 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. GENERATIVE ADVERSARIAL NETS
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers