Francisco Manuel Rangel Pardo

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Francisco Manuel Rangel Pardo trusts overall

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

  1. Dong Nguyen
  2. Aixia Guo
  3. Alexander S. Yeh
  4. James W. Pennebaker
  5. Moshe Koppel
  6. Paul T. Costa
  7. Beatrice Rammstedt
  8. Jonathan Schler
  9. John Nerbonne
  10. Noah A. Smith

Who trusts Francisco Manuel Rangel Pardo overall

  1. Shachar Mirkin
  2. Scott Nowson
  3. Dong Nguyen
  4. Maria Barrett
  5. Wen Li
  6. Caroline De Brun

Papers from Francisco Manuel Rangel Pardo's perspective

Ordered by how strongly the researchers Francisco Manuel Rangel Pardo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. GloVe: Global Vectors for Word Representation
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers