Mohammadkazem Taram

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 6 papers; trusts 105 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammadkazem Taram trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Cynthia Dwork
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Kamalika Chaudhuri
  7. Yuval Yarom
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Ian J. Goodfellow

Who trusts Mohammadkazem Taram overall

  1. Fatemehsadat Mireshghallah
  2. Prakash Ramrakhyani
  3. Dean M. Tullsen
  4. Abhishek Singh
  5. Hadi Esmaeilzadeh

Papers from Mohammadkazem Taram's perspective

Ordered by how strongly the researchers Mohammadkazem Taram 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  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