Jorge P'erez

Artificial Intelligence · 2023

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

• Artificial Intelligence — 31 citations into it
• Natural Language Processing — 28 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Jorge P'erez trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)
2. Jörg Tiedemann (in Natural Language Processing)
3. Jimmy Ba (in Artificial Intelligence)
4. E. Tjong Kim Sang (in Evaluation & Benchmarks)
5. Luke S. Zettlemoyer (in Natural Language Processing)
6. Kenton C. T. Lee (in Artificial Intelligence)
7. Sebastian Ruder (in Artificial Intelligence)
8. Quoc V. Le (in Artificial Intelligence)

Papers from Jorge P'erez's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
5. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. XLNet: Generalized Autoregressive Pretraining for Language Understanding (Neural Information Processing Systems)
10. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Their papers

• Spanish Pre-trained BERT Model and Evaluation Data (2023) — 793 citations