Yasaman Khazaeni

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Yasaman Khazaeni trusts overall

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

  1. Mikhail Yurochkin
  2. T. Griffiths
  3. Romain Thibaux
  4. Yann LeCun

Who trusts Yasaman Khazaeni overall

  1. Qinbin Li
  2. Chaoyang He
  3. Guodong Long
  4. Jaehong Yoon

Papers from Yasaman Khazaeni's perspective

Ordered by how strongly the researchers Yasaman Khazaeni trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Large Scale Distributed Deep Networks
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers