Reza Babanezhad

Artificial Intelligence · 2015

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Reza Babanezhad trusts overall

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

  1. L. Eon Bottou
  2. Yurii E. Nesterov
  3. Tong Zhang
  4. Shai Shalev-Shwartz
  5. Francis R. Bach
  6. Mark W. Schmidt
  7. Diederik P. Kingma
  8. Geoffrey E. Hinton
  9. Rie Johnson
  10. Yoshua Bengio

Who trusts Reza Babanezhad overall

  1. Jakub Konecný
  2. Lihua Lei
  3. Ashok Cutkosky
  4. Biyi Fang
  5. Soham De
  6. Ilya Loshchilov
  7. Sharan Vaswani
  8. Francis R. Bach
  9. Mark W. Schmidt
  10. S. Meng

Papers from Reza Babanezhad's perspective

Ordered by how strongly the researchers Reza Babanezhad 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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