Nicola Pellicanò

Artificial Intelligence · 2020

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

Subfields

Whom Nicola Pellicanò trusts overall

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

  1. Rowan Zellers
  2. Jacob Devlin
  3. Timothy Niven
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Hector J. Levesque
  8. Jason Phang
  9. Andrew S. Gordon
  10. Ilya Sutskever

Who trusts Nicola Pellicanò overall

  1. Tara Safavi

Papers from Nicola Pellicanò's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers