Alexander R. Fabbri

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 254 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander R. Fabbri trusts overall

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

  1. Diederik P. Kingma
  2. Chin-Yew Lin
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Ronald J. Williams
  7. Alex Krizhevsky
  8. Richard Socher
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Alexander R. Fabbri overall

  1. Daniel Deutsch
  2. Tanya Goyal
  3. Faisal Ladhak
  4. Esin Durmus
  5. Sebastian Gehrmann
  6. Neslihan Iskender
  7. Reinald Kim Amplayo
  8. Tianyi Zhang
  9. Yi Tay
  10. Thomas Scialom

Papers from Alexander R. Fabbri's perspective

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

Their papers