Scott Langevin

2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Scott Langevin trusts overall

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

  1. David M. Blei
  2. Tomas Mikolov
  3. Andrew Y. Ng
  4. Heiko Hoffmann
  5. Ilya Sutskever
  6. Michael I. Jordan
  7. Mira Dontcheva
  8. Kai Chen
  9. Geoffrey E. Hinton
  10. Dekang Lin

Who trusts Scott Langevin overall

  1. Marc-André Zöller
  2. Marco F. Huber

Papers from Scott Langevin's perspective

Ordered by how strongly the researchers Scott Langevin 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. Gradient-based learning applied to document recognition
  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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers