Manuel Herrera

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Manuel Herrera trusts overall

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

  1. Teuvo Kohonen
  2. J. Urgen Schmidhuber
  3. J. Zurada
  4. Jan Adamowski
  5. Jerome H. Friedman
  6. Valerie F. Reyna
  7. Kwok-Wing Chau
  8. Pao-Shan Yu
  9. Liangpei Zhang
  10. Trevor J. Hastie

Who trusts Manuel Herrera overall

  1. Amir Mosavi

Papers from Manuel Herrera's perspective

Ordered by how strongly the researchers Manuel Herrera trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  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