Hamid Ebadi

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Hamid Ebadi trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Shai Avidan
  4. Chao Li
  5. Andreas Haeberlen
  6. Ilya Mironov
  7. Matthijs C. Dorst
  8. Cordelia Schmid
  9. Ratul Mahajan
  10. Benjamin C. Pierce

Who trusts Hamid Ebadi overall

  1. Yu-Xiang Wang
  2. Danfeng Zhang
  3. Vitaly Feldman
  4. Martin Pettai
  5. Ryan McKenna
  6. Daniel Kifer
  7. Tijana Zrnic
  8. Peeter Laud
  9. Gerome Miklau
  10. Yuxin Wang

Papers from Hamid Ebadi's perspective

Ordered by how strongly the researchers Hamid Ebadi 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. Gradient-based learning applied to document recognition
  5. Calibrating Noise to Sensitivity in Private Data Analysis
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Differential Privacy
  10. Long Short-Term Memory

Their papers