M. Sadegh Riazi

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 104 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom M. Sadegh Riazi trusts overall

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

  1. Wei Wang
  2. Zvika Brakerski
  3. Craig Gentry
  4. Yehuda Lindell
  5. Vinod Vaikuntanathan
  6. Sujoy Sinha Roy
  7. Thomas Schneider
  8. Alex Krizhevsky
  9. Yarkin Doröz
  10. Shai Halevi

Who trusts M. Sadegh Riazi overall

  1. Sameer Wagh
  2. Fatemehsadat Mireshghallah
  3. Mohammadkazem Taram
  4. Chiraag Shashikant Juvekar
  5. Fatemehsadat Mirshghallah
  6. Amartya Sanyal
  7. Brandon Reagen
  8. Deevashwer Rathee
  9. Rahul Rachuri
  10. Jiasi Chen

Papers from M. Sadegh Riazi's perspective

Ordered by how strongly the researchers M. Sadegh Riazi 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. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers