Shahin Shahrampour

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 5 papers; trusts 32 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Shahin Shahrampour trusts overall

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

  1. Reza Olfati-Saber
  2. John N. Tsitsiklis
  3. John C. Duchi
  4. Ali Jadbabaie
  5. Amir Beck
  6. Angelia Nedić
  7. Eric C. Hall
  8. Federico S. Cattivelli
  9. Alekh Agarwal
  10. Nicolò Cesa-Bianchi

Who trusts Shahin Shahrampour overall

  1. Anusha Lalitha
  2. Yawei Zhao
  3. Yingying Li
  4. Amrit Singh Bedi
  5. Mehryar Mohri
  6. Wendi Wu
  7. Mikhail Khodak
  8. Ji Liu
  9. Tara Javidi
  10. Osman Cihan Kilinc

Papers from Shahin Shahrampour's perspective

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

Their papers