Pedro Manuel Cuenca-Jiménez

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pedro Manuel Cuenca-Jiménez trusts

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

  1. Tomas Mikolov (in Artificial Intelligence)
  2. Sebastian Ruder (in Artificial Intelligence)
  3. Jeremy Howard (in Artificial Intelligence)
  4. Vladimir Naumovich Vapnik (in Optimization & Training)
  5. Corinna Cortes (in Optimization & Training)
  6. Ashima Yadav (in Artificial Intelligence)
  7. Dinesh Kumar Vishwakarma (in Artificial Intelligence)

Papers from Pedro Manuel Cuenca-Jiménez's perspective

Ordered by how strongly the researchers Pedro Manuel Cuenca-Jiménez 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. GloVe: Global Vectors for Word Representation
  4. Efficient Estimation of Word Representations in Vector Space
  5. Language Models are Unsupervised Multitask Learners
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  10. Gradient-based learning applied to document recognition

Their papers