Benjamin J. Lengerich

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin J. Lengerich trusts overall

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

  1. Matthew D. Zeiler
  2. Rob Fergus
  3. Geoffrey E. Hinton
  4. Graham W. Taylor
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Karen Simonyan
  8. Yann LeCun
  9. Christian Szegedy
  10. Yoshua Bengio

Who trusts Benjamin J. Lengerich overall

  1. Giulia Vilone
  2. Longo Luca
  3. Quanshi Zhang

Papers from Benjamin J. Lengerich's perspective

Ordered by how strongly the researchers Benjamin J. Lengerich 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. ImageNet Large Scale Visual Recognition Challenge
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers