P. Guzmán

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 46 citations into it
• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Evaluation & Benchmarks — 13 citations into it

Whom P. Guzmán trusts overall

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

1. Rico Sennrich
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Philipp Koehn
6. Ilya Sutskever
7. Kyunghyun Cho
8. Matt Post
9. Alex Krizhevsky
10. Dekang Lin

Papers from P. Guzmán's perspective

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

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

Their papers

• Detecting Hallucinated Content in Conditional Neural Sequence Generation (2020) — 234 citations