Frederic Kaplan

Reinforcement Learning · 2002–2013

A researcher in the Science corpus: 8 papers; trusts 56 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Frederic Kaplan trusts overall

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

  1. Richard S. Sutton
  2. J. Urgen Schmidhuber
  3. Pierre-Yves Oudeyer
  4. Andrew Barto
  5. Michael I. Jordan
  6. Wolfram Schultz
  7. Jun Tani
  8. Peter S. Dayan
  9. Kenji Doya
  10. Mark B. Ring

Who trusts Frederic Kaplan overall

  1. Pierre-Yves Oudeyer
  2. Gianluca Baldassarre
  3. J. Urgen Schmidhuber
  4. Jacqueline Gottlieb
  5. Adrien Baranes
  6. Jeff Clune
  7. Clément Moulin-Frier
  8. Sao Mai Nguyen
  9. Manuel Lopes
  10. Karl J. Friston

Papers from Frederic Kaplan's perspective

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

Their papers