Manuel Lopes

Artificial Intelligence · 2005–2016

A researcher in the Science corpus: 17 papers; trusts 156 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom Manuel Lopes trusts overall

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

  1. Stefan Schaal
  2. Richard S. Sutton
  3. Andrew Barto
  4. J. Urgen Schmidhuber
  5. Pierre-Yves Oudeyer
  6. Andrew Y. Ng
  7. Adrien Baranes
  8. Satinder Singh
  9. Radford M. Neal
  10. Luis Montesano

Who trusts Manuel Lopes overall

  1. Pierre-Yves Oudeyer
  2. Sao Mai Nguyen
  3. Luis Montesano
  4. Daniel S. Brown
  5. Scott Niekum
  6. Adrien Baranes
  7. Oliver Kroemer
  8. Sergey Levine
  9. José Santos-Victor
  10. Francisco S. Melo

Papers from Manuel Lopes's perspective

Ordered by how strongly the researchers Manuel Lopes 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. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers