Lauren Schmidt

Natural Language Processing · 2009

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lauren Schmidt trusts overall

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

  1. Carl E. Rasmussen
  2. Jeffrey L. Elman
  3. Susan Carey
  4. Deb K. Roy
  5. Michael Collins
  6. Eleanor Rosch
  7. Alex Pentland
  8. Dekang Lin
  9. Ellen M. Markman
  10. Peter C. Gordon

Who trusts Lauren Schmidt overall

  1. Bharath Hariharan
  2. Ross B. Girshick
  3. Alex Nichol
  4. Yu-Xiong Wang
  5. Sandro Pezzelle
  6. John Schulman

Papers from Lauren Schmidt's perspective

Ordered by how strongly the researchers Lauren Schmidt 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers