Noman Mohammed

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Noman Mohammed trusts overall

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

  1. Frank McSherry
  2. Cynthia Dwork
  3. Latanya Sweeney
  4. Pierangela Samarati
  5. Daniel Kifer
  6. Vijay S. Iyengar
  7. Aaron Roth
  8. Kobbi Nissim
  9. Benjamin C. M. Fung
  10. Ashwin Machanavajjhala

Who trusts Noman Mohammed overall

  1. Zhanglong Ji
  2. Rui Chen
  3. Charles Peter Elkan
  4. Kamalika Chaudhuri
  5. Xueyang Hu
  6. Benjamin C. M. Fung
  7. Zachary Chase Lipton
  8. Gergely Ács
  9. Anand D. Sarwate
  10. Fabienne Eigner

Papers from Noman Mohammed's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Calibrating Noise to Sensitivity in Private Data Analysis
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Revealing information while preserving privacy
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Differential Privacy
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Differentially private recommender systems: building privacy into the net
  10. Learning Multiple Layers of Features from Tiny Images

Their papers