Stella Laurenzo

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stella Laurenzo trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. J. Urgen Schmidhuber
  5. Sepp Hochreiter
  6. Dzmitry Bahdanau
  7. Kyunghyun Cho

Papers from Stella Laurenzo's perspective

Ordered by how strongly the researchers Stella Laurenzo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Gradient-based learning applied to document recognition
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  8. Et al
  9. Distilling the Knowledge in a Neural Network (arXiv.org)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers