Aurelio Ranzato

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Aurelio Ranzato trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. David John Cameron MacKay
  5. L. Eon Bottou
  6. Vladimir Naumovich Vapni
  7. Kevin P. Murphy

Who trusts Aurelio Ranzato overall

  1. Yilun Du
  2. Yann LeCun
  3. Jianwen Xie
  4. Yoshua Bengio
  5. Song-Chun Zhu
  6. Erik Nijkamp
  7. Yoav Goldberg
  8. Ying Nian Wu
  9. Sergey Levine
  10. Yang Lu

Papers from Aurelio Ranzato's perspective

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

Their papers