Hamid Reza Feyzmahdavian

Optimization & Training · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Hamid Reza Feyzmahdavian trusts overall

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

  1. Yurii E. Nesterov
  2. David D. Lewis
  3. Alekh Agarwal
  4. John C. Duchi
  5. Arkadi Nemirovski
  6. Joseph Dean
  7. Marc Teboulle
  8. Guanghui Lan
  9. Paul Tseng
  10. Shai Shalev-Shwartz

Who trusts Hamid Reza Feyzmahdavian overall

  1. Xiangru Lian
  2. Sebastian U. Stich
  3. Ji Liu
  4. Yijun Huang
  5. Nicolas Loizou
  6. Zhengyuan Zhou
  7. Tianbao Yang
  8. Ce Zhang
  9. Sai Praneeth Karimireddy
  10. Peter Richtárik

Papers from Hamid Reza Feyzmahdavian's perspective

Ordered by how strongly the researchers Hamid Reza Feyzmahdavian 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. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers