Saku Sugawara

Artificial Intelligence · 2017–2024

A researcher in the Science corpus: 6 papers; trusts 197 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Saku Sugawara trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Jason Aaron Edward Weston
  4. Diederik P. Kingma
  5. Peter Clark
  6. Christopher D. Manning
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Danqi Chen
  10. Yann LeCun

Who trusts Saku Sugawara overall

  1. Patrick Lewis
  2. Jordan L. Boyd-Graber
  3. Ethan Perez
  4. Matt Gardner
  5. Eric Wallace
  6. Viktor Schlegel
  7. Maharshi Gor
  8. Sewon Min
  9. Tushar Khot
  10. Yao Fu

Papers from Saku Sugawara's perspective

Ordered by how strongly the researchers Saku Sugawara 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. 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. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers