Joseph P. Near

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph P. Near trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Adam D. Smith
  4. Kobbi Nissim
  5. Jeremiah Blocki
  6. Aaron Roth
  7. Moritz Hardt
  8. Kamalika Chaudhuri
  9. Avrim Blum
  10. Michael Hay

Who trusts Joseph P. Near overall

  1. Tianhao Wang
  2. Ninghui Li
  3. Krishnaram Kenthapadi
  4. Ú. Erlingsson
  5. Vitaly Feldman
  6. Zhikun Zhang
  7. Somesh Jha
  8. Royce J. Wilson
  9. Mohammad Yaghini

Papers from Joseph P. Near's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. ImageNet classification with deep convolutional neural networks
  3. Differential Privacy
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Boosting and Differential Privacy
  8. Differentially Private Empirical Risk Minimization
  9. ImageNet: A large-scale hierarchical image database
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers