Manuel Martin Salvador

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Manuel Martin Salvador trusts overall

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

  1. Frank Hutter
  2. Katharina Eggensperger
  3. Chris J. Thornton
  4. Jasper Snoek
  5. James Bergstra
  6. Wil M.P. van der Aalst
  7. Holger H. Hoos
  8. Yoshua Bengio
  9. David Hilton Wolpert
  10. Kevin Swersky

Who trusts Manuel Martin Salvador overall

  1. Marc-André Zöller
  2. Marco F. Huber
  3. Tien-Dung Nguyen
  4. Tomasz Maszczyk

Papers from Manuel Martin Salvador's perspective

Ordered by how strongly the researchers Manuel Martin Salvador 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. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers