Katrina Ligett

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 9 papers; trusts 62 researchers and is trusted by 144 researchers here, as inferred from the citation graph.

Subfields

Whom Katrina Ligett trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Moritz Hardt
  4. Kobbi Nissim
  5. Avrim Blum
  6. Michael Kearns
  7. Kunal Talwar
  8. Aaron Roth
  9. Adam D. Smith
  10. Chao Li

Who trusts Katrina Ligett overall

  1. Jonathan Ullman
  2. Cynthia Dwork
  3. Daniel Kifer
  4. Kamalika Chaudhuri
  5. Ashwin Machanavajjhala
  6. Aaron Roth
  7. Mark Bun
  8. Aleksandra Korolova
  9. Dana Pessach
  10. Zhanglong Ji

Papers from Katrina Ligett's perspective

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

Their papers