Pietro Liguori

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 32 citations into it
• Artificial Intelligence — 31 citations into it

Whom Pietro Liguori trusts overall

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

1. Diederik P. Kingma
2. Ilya Sutskever
3. Yoshua Bengio
4. Pengcheng Yin
5. Sepp Hochreiter
6. Geoffrey E. Hinton
7. Dzmitry Bahdanau
8. Xi Victoria Lin
9. Jimmy Ba
10. J. Urgen Schmidhuber

Papers from Pietro Liguori's perspective

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

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

Their papers

• Can we generate shellcodes via natural language? An empirical study (2021) — 34 citations