Víctor Campos

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Víctor Campos trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Diederik P. Kingma
  5. Kaiming He
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. J. Urgen Schmidhuber
  10. Sepp Hochreiter

Who trusts Víctor Campos overall

  1. Raffaele Tavarone
  2. Loren Lugosch
  3. Christian Gumbsch
  4. Jin Tao
  5. Yizeng Han
  6. Chenghao Li
  7. Leonardo Badino
  8. Derek Nowrouzezahrai
  9. Martin Volker Butz
  10. Minjoon Seo

Papers from Víctor Campos's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers