Roberto Natella

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 Roberto Natella trusts overall

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

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

Papers from Roberto Natella's perspective

Ordered by how strongly the researchers Roberto Natella 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers

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