M. de Vos

Artificial Intelligence · 2010–2024

A researcher in the Science corpus: 9 papers; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom M. de Vos trusts overall

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

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

Who trusts M. de Vos overall

  1. Jose Antonio Urigüen
  2. Huy P Phan

Papers from M. de Vos's perspective

Ordered by how strongly the researchers M. de Vos 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet: A large-scale hierarchical image database
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers