Nema Dean

Artificial Intelligence · 2006

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Nema Dean trusts overall

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

  1. Geoffrey J. McLachlan
  2. Chris Fraley
  3. Adrian E. Raftery
  4. Stéphane Mallat
  5. Ingrid Daubechies
  6. P. Deb
  7. Sujit Kumar Ghosh
  8. Guy P. Nason
  9. R. Fisher
  10. Anthony B. Atkinson

Who trusts Nema Dean overall

  1. Paul David McNicholas
  2. Charles Bouveyron
  3. D. Toher
  4. Daniela M. Witten
  5. Wei Pan
  6. Jiahua Chen
  7. Ahmed Ali Abdalla Esmin
  8. Cathy Maugis
  9. Ricardo Fraiman
  10. G. Downey

Papers from Nema Dean's perspective

Ordered by how strongly the researchers Nema Dean 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers