Blaise Agüera y Arcas

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 7 papers; trusts 46 researchers and is trusted by 160 researchers here, as inferred from the citation graph.

Subfields

Whom Blaise Agüera y Arcas trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. John C. Duchi
  7. Sergey Ioffe
  8. Cynthia Dwork
  9. Ilya Sutskever
  10. Ian J. Goodfellow

Who trusts Blaise Agüera y Arcas overall

  1. Jakub Konecný
  2. Yang Liu
  3. Jianyu Wang
  4. H. Brendan McMahan
  5. Chaoyang He
  6. Tian Li
  7. Cong Xie
  8. Neel Guha
  9. Jihong Park
  10. Lingjuan Lyu

Papers from Blaise Agüera y Arcas's perspective

Ordered by how strongly the researchers Blaise Agüera y Arcas 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers