Nicole Immorlica

Artificial Intelligence · 2004–2018

A researcher in the Science corpus: 9 papers; trusts 58 researchers and is trusted by 744 researchers here, as inferred from the citation graph.

Subfields

Whom Nicole Immorlica trusts overall

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

  1. Michael Kearns
  2. Adam Tauman Kalai
  3. Alexandra Chouldechova
  4. Cynthia Dwork
  5. Moritz Hardt
  6. Richard A. Berk
  7. Matthew Joseph
  8. Jesse Davis
  9. Alex Krizhevsky
  10. Piotr Indyk

Who trusts Nicole Immorlica overall

  1. Herv'e J'egou
  2. Jingdong Wang
  3. Matthijs Douze
  4. Jingkuan Song
  5. Cordelia Schmid
  6. Geoffrey E. Hinton
  7. Ruslan Salakhutdinov
  8. J. Urgen Schmidhuber
  9. Yi Yang
  10. Wei David Liu

Papers from Nicole Immorlica's perspective

Ordered by how strongly the researchers Nicole Immorlica 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: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers