Carmen Banea

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 9 papers; trusts 55 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Carmen Banea trusts overall

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

  1. Janyce Wiebe
  2. Thorsten Joachims
  3. Rada Mihalcea
  4. Andrew McCallum
  5. Dekang Lin
  6. Ellen Riloff
  7. Andrea Esuli
  8. Hiroshi Kanayama
  9. Eneko Agirre
  10. Yiming Yang

Who trusts Carmen Banea overall

  1. Xiaojun Wan
  2. John Wieting
  3. Kawin Ethayarajh
  4. Kevin Gimpel
  5. Yang Shao
  6. Cecilia Ovesdotter Alm
  7. Nils Reimers
  8. Shiliang Sun
  9. Timo Schick
  10. Hua He

Papers from Carmen Banea's perspective

Ordered by how strongly the researchers Carmen Banea 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers