Verónica Pérez-Rosas

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Verónica Pérez-Rosas trusts overall

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

  1. Janyce Wiebe
  2. Rada Mihalcea
  3. Paul Ekman
  4. Max Kuhn
  5. Christopher D. Manning
  6. Myle Ott
  7. Daniel Klein
  8. Andrea Esuli
  9. Tomas Mikolov
  10. Delip Rao

Who trusts Verónica Pérez-Rosas overall

  1. Xinyi Zhou
  2. Neema Kotonya
  3. Srijan Kumar
  4. Bennett Kleinberg
  5. Sarah Ita Levitan
  6. Iftikhar Ahmad
  7. Francesca Toni
  8. Neil Shah
  9. William R. Hersh
  10. Maximilian Mozes

Papers from Verónica Pérez-Rosas's perspective

Ordered by how strongly the researchers Verónica Pérez-Rosas trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers