Dan Garrette

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 12 papers; trusts 111 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Garrette trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jacob Devlin
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Taku Kudo
  9. Yann LeCun
  10. Tomas Mikolov

Who trusts Dan Garrette overall

  1. Sebastian Ruder
  2. Yi Tay
  3. Hyung Won Chung
  4. Jonas Pfeiffer
  5. Katikapalli Subramanyam Kalyan
  6. Connor Shorten
  7. Shijie Wu
  8. Ahmet Üstün
  9. Mikel Artetxe
  10. Yasaman Razeghi

Papers from Dan Garrette's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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