Ruggero Petrolito

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruggero Petrolito trusts overall

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

  1. Preslav Nakov
  2. Sara Rosenthal
  3. Tomas Mikolov
  4. Alan Ritter
  5. Kai Chen
  6. Greg S. Corrado
  7. Yoshua Bengio
  8. Veselin Stoyanov
  9. Mika V. Mäntylä

Papers from Ruggero Petrolito's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. GloVe: Global Vectors for Word Representation

Their papers