Jorge Pérez

Artificial Intelligence · 2004–2019

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jorge Pérez trusts overall

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

  1. Kaiming He
  2. Lukasz Kaiser
  3. Ilya Sutskever
  4. Ashish Vaswani
  5. Hava T. Siegelmann
  6. Geoffrey E. Hinton
  7. X. Zhang
  8. Yoshua Bengio
  9. Alex Graves
  10. Peter Shaw

Who trusts Jorge Pérez overall

  1. Michael Schmidt
  2. Bastian Quilitz
  3. Danh Le-Phuoc
  4. Zhiyuan Li
  5. Leonid Libkin
  6. Renzo Angles
  7. Angeliki Giannou
  8. Ruben Verborgh
  9. Ulf Leser
  10. Manzil Zaheer

Papers from Jorge Pérez's perspective

Ordered by how strongly the researchers Jorge Pérez 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers