Ryan M. Rogers

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 9 papers; trusts 85 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan M. Rogers trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Adam D. Smith
  4. Mark Bun
  5. Kobbi Nissim
  6. Moritz Hardt
  7. Thomas Steinke
  8. Ú. Erlingsson
  9. John C. Duchi
  10. Ilya Mironov

Who trusts Ryan M. Rogers overall

  1. Jayadev Acharya
  2. Vitaly Feldman
  3. Borja Balle
  4. Leighton Pate Barnes
  5. Clément Louis Canonne
  6. Matthew Joseph
  7. Vishesh Karwa
  8. Ziteng Sun
  9. Salil P. Vadhan
  10. Ayfer Özgür

Papers from Ryan M. Rogers's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Calibrating Noise to Sensitivity in Private Data Analysis
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers