Sepehr Janghorbani

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sepehr Janghorbani trusts overall

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

  1. Ronald J. Williams
  2. Diederik P. Kingma
  3. Eric Crawford
  4. Geoffrey E. Hinton
  5. Andriy Mnih
  6. Adam R. Kosiorek
  7. Yoshua Bengio
  8. Max Welling
  9. Alex Krizhevsky
  10. Ruslan Salakhutdinov

Who trusts Sepehr Janghorbani overall

  1. Eric Crawford
  2. Sjoerd van Steenkiste
  3. Klaus Greff
  4. Aleksandar Stani'c
  5. Francesco Locatello

Papers from Sepehr Janghorbani's perspective

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

Their papers