Lawrence Charles Paulson

Artificial Intelligence · 2000–2021

A researcher in the Science corpus: 7 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Lawrence Charles Paulson trusts overall

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

  1. A. Oxley
  2. Christian Szegedy
  3. Hubert Garavel
  4. Dzmitry Bahdanau
  5. Donald Ervin Knuth
  6. Sepp Hochreiter
  7. Yoshua Bengio
  8. Ashish Vaswani
  9. Ilya Sutskever
  10. Andrea Iacona

Who trusts Lawrence Charles Paulson overall

  1. Albert Qiaochu Jiang
  2. Yuhuai Wu
  3. Sean Welleck
  4. Wenda Li
  5. Zhihong Shao
  6. Markus Norman Rabe
  7. Peiyi Wang
  8. M. Wenzel
  9. Christian Szegedy
  10. Kshitij Bansal

Papers from Lawrence Charles Paulson's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers