L. Gerken

Cognitive Science & Psychology · 2000–2008

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom L. Gerken trusts overall

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

  1. Josh Tenenbaum
  2. Rebecca L. Gómez
  3. Elissa L. Newport
  4. Fei Xu
  5. Richard N. Aslin
  6. T. Griffiths
  7. Noam Chomsky
  8. Janet F. Werker
  9. Peter W. Jusczyk
  10. Jenny R. Saffran

Who trusts L. Gerken overall

  1. Patricia K. Kuhl
  2. Janet F. Werker
  3. Jenny R. Saffran
  4. Simon Kirby
  5. Chia-ying Lee
  6. Rebecca L. Gómez
  7. Amanda Seidl
  8. Jeffrey L. Elman
  9. H. H. Yeung
  10. Morten H. Christiansen

Papers from L. Gerken's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers