Julia Stoyanovich

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Julia Stoyanovich trusts overall

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

  1. Cynthia Dwork
  2. Ke Yang
  3. Indrė Žliobaitė
  4. Kalervo Järvelin
  5. Richard S. Zemel
  6. Moritz Hardt
  7. Florian Tramèr
  8. Marina Drosou
  9. Toniann Pitassi
  10. Sorelle A. Friedler

Who trusts Julia Stoyanovich overall

  1. Lei Xu
  2. L. Elisa Celis
  3. Sahin Cem Geyik
  4. Abolfazl Asudeh
  5. Yongsu Ahn
  6. Luca Oneto
  7. Ke Yang
  8. Manish Raghavan
  9. Kalyan Veeramachaneni
  10. Yifan Wang

Papers from Julia Stoyanovich's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Fairness through awareness
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Certifying and Removing Disparate Impact
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Fair Representations
  10. Long Short-Term Memory

Their papers