Manuel Lopez-Martin

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Manuel Lopez-Martin trusts overall

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

  1. Andrew William Moore
  2. Sven Behnke
  3. Zachary Chase Lipton
  4. Thuy T. T. Nguyen
  5. Denis Zuev
  6. Tara N. Sainath
  7. Oriol Vinyals
  8. Grenville J. Armitage
  9. Geoffrey E. Hinton
  10. Sergey Ioffe

Who trusts Manuel Lopez-Martin overall

  1. Shahbaz Rezaei
  2. Giuseppe Aceto
  3. Wei Yu
  4. Xin Liu
  5. Domenico Ciuonzo

Papers from Manuel Lopez-Martin's perspective

Ordered by how strongly the researchers Manuel Lopez-Martin 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers