Alireza Mehrtash

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alireza Mehrtash trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Sergey Ioffe
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Thomas G. Dietterich
  7. Jimmy Ba
  8. Christian Szegedy
  9. Geert J. S. Litjens
  10. Yoshua Bengio

Who trusts Alireza Mehrtash overall

  1. Philipp Oberdiek
  2. Zhipeng Ding
  3. Jakob Gawlikowski
  4. Matthias Rottmann

Papers from Alireza Mehrtash's perspective

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

Their papers