Adam Gayoso

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Gayoso trusts overall

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

  1. Diederik P. Kingma
  2. Yoav Benjamini
  3. Leland McInnes
  4. Pierre-Alexandre Mattei
  5. Andrew Gelman
  6. Romain Lopez
  7. Brian L. Hie
  8. Volodymyr Kuleshov
  9. Marlon Stoeckius
  10. Max Welling

Papers from Adam Gayoso's perspective

Ordered by how strongly the researchers Adam Gayoso 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers