Benjamin Hoover

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 69 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Hoover trusts overall

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

  1. Ashish Vaswani
  2. Alec Radford
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Yoav Goldberg
  8. Jacob Devlin
  9. Alex Krizhevsky
  10. Jesse Vig

Who trusts Benjamin Hoover overall

  1. Jesse Vig
  2. Ian Tenney
  3. Katikapalli Subramanyam Kalyan
  4. Amil Merchant
  5. Francesco Bodria
  6. Piyawat Lertvittayakumjorn
  7. Ajit Rajasekharan
  8. Elahe Rahimtoroghi
  9. Fosca Giannotti
  10. Ali Madani

Papers from Benjamin Hoover's perspective

Ordered by how strongly the researchers Benjamin Hoover trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers