Jordi Bonada

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 4 papers; trusts 188 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Jordi Bonada trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Aäron van den Oord
  5. Kaiming He
  6. Danilo Jimenez Rezende
  7. Alex Graves
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Sergey Ioffe

Who trusts Jordi Bonada overall

  1. Prafulla Dhariwal
  2. Adam Polyak
  3. Lior Wolf
  4. Eliya Nachmani
  5. Merlijn Blaauw
  6. Wei-Ning Hsu
  7. Takuma Okamoto
  8. Heewoo Jun
  9. Pritish Chandna
  10. Jinglin Liu

Papers from Jordi Bonada's perspective

Ordered by how strongly the researchers Jordi Bonada 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers