Shahab Asoodeh

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shahab Asoodeh trusts overall

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

  1. Cynthia Dwork
  2. Borja Balle
  3. Yu-Xiang Wang
  4. H. Brendan McMahan
  5. Ilya Mironov
  6. Gilles Barthe
  7. Kamalika Chaudhuri
  8. Adam D. Smith
  9. Radford M. Neal
  10. Ohad Shamir

Who trusts Shahab Asoodeh overall

  1. Peter Kairouz

Papers from Shahab Asoodeh's perspective

Ordered by how strongly the researchers Shahab Asoodeh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers