Muhammad Shayan

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Muhammad Shayan trusts overall

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

  1. L. Eon Bottou
  2. Claus-Peter Schnorr
  3. Yann LeCun
  4. Blaine Nelson
  5. Silvio Micali
  6. Johannes Blömer
  7. John R. Douceur
  8. Reza Shokri
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Muhammad Shayan overall

  1. Jiawen Kang
  2. Zehui Xiong
  3. Liangqi Yuan
  4. Zhiyi Tian
  5. Dusist Niyato
  6. Yang Zhao
  7. Lichao Sun
  8. Lei Cui

Papers from Muhammad Shayan's perspective

Ordered by how strongly the researchers Muhammad Shayan 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  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