Manuel Montes-y-Gómez

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 6 papers; trusts 85 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Manuel Montes-y-Gómez trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Richard Socher
  5. Ruslan Salakhutdinov
  6. Alex Krizhevsky
  7. Tomas Mikolov
  8. Karen Simonyan
  9. Andrew Y. Ng
  10. Yann LeCun

Who trusts Manuel Montes-y-Gómez overall

  1. Marc-André Zöller
  2. Marco F. Huber
  3. Douwe Kiela

Papers from Manuel Montes-y-Gómez's perspective

Ordered by how strongly the researchers Manuel Montes-y-Gómez 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers