Majid Jahani

Optimization & Training · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Majid Jahani trusts overall

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

  1. Jorge Nocedal
  2. L. Eon Bottou
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Yurii E. Nesterov
  7. Rie Johnson
  8. Geoffrey E. Hinton
  9. Jimmy Ba
  10. Yoshua Bengio

Who trusts Majid Jahani overall

  1. Albert S. Berahas
  2. S. Meng

Papers from Majid Jahani's perspective

Ordered by how strongly the researchers Majid Jahani 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. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  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