Lawrence V. Snyder

Artificial Intelligence · 2005–2018

A researcher in the Science corpus: 7 papers; trusts 21 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Lawrence V. Snyder trusts overall

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

  1. Zuo-Jun Max Shen
  2. Marshall L. Fisher
  3. Mark S. Daskin
  4. Gerhard Reinelt
  5. Collette R. Coullard
  6. Brian Tomlin
  7. Oriol Vinyals
  8. Ilya Sutskever
  9. David S. Johnson
  10. Ronald J. Williams

Who trusts Lawrence V. Snyder overall

  1. Dmitry A. Ivanov
  2. Alexandre Dolgui
  3. Zuo-Jun Max Shen
  4. Tingting Cui
  5. Oded Berman
  6. Sina Ansari
  7. Armin Jabbarzadeh
  8. Yanfeng Ouyang
  9. Eduardo Álvarez-Miranda
  10. Maria Paola Scaparra

Papers from Lawrence V. Snyder's perspective

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

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

Their papers