Héctor Allende

Artificial Intelligence · 2006–2013

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Héctor Allende trusts overall

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

  1. Frank Hampel
  2. Shai Shalev-Shwartz
  3. Martin Jaggi
  4. Peter J. Rousseeuw
  5. Bernhard Schölkopf
  6. S. Sathiya Keerthi
  7. Katya Scheinberg
  8. Kenneth L. Clarkson
  9. Thomas Hofmann
  10. Elvezio Ronchetti

Papers from Héctor Allende's perspective

Ordered by how strongly the researchers Héctor Allende 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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers